diff --git a/fern/docs.yml b/fern/docs.yml
index 2611dac89..bb2391d88 100644
--- a/fern/docs.yml
+++ b/fern/docs.yml
@@ -64,6 +64,8 @@ navigation:
         contents:
           - page: LLM Backends
             path: ./docs/pages/manual/llms.mdx
+          - page: Reranker
+            path: ./docs/pages/manual/reranker.mdx
       - section: User Interface
         contents:
           - page: User interface (Gradio) Manual
diff --git a/fern/docs/pages/installation/installation.mdx b/fern/docs/pages/installation/installation.mdx
index b47e2b2b7..0b906f442 100644
--- a/fern/docs/pages/installation/installation.mdx
+++ b/fern/docs/pages/installation/installation.mdx
@@ -58,6 +58,7 @@ Where `<extra>` can be any of the following:
 - vector-stores-qdrant: adds support for Qdrant vector store
 - vector-stores-chroma: adds support for Chroma DB vector store
 - vector-stores-postgres: adds support for Postgres vector store
+- reranker-flagembedding: adds support for Flagembedding reranker
 
 ## Recommended Setups
 
diff --git a/fern/docs/pages/manual/reranker.mdx b/fern/docs/pages/manual/reranker.mdx
new file mode 100644
index 000000000..4b6be3ff0
--- /dev/null
+++ b/fern/docs/pages/manual/reranker.mdx
@@ -0,0 +1,57 @@
+# Reranker
+
+PrivateGPT supports the integration with the `Reranker` which has the potential to enhance the performance of the Retrieval-Augmented Generation (RAG) system.
+
+Currently we only support `flagembedding` as reranker mode, in order to use it, set the `reranker.mode` property in the `settings.yaml` file to `flagembedding`.
+
+```yaml
+reranker:
+  mode: flagembedding
+  enabled: true
+```
+
+Use the `enabled` flag to toggle the `Reranker` as per requirement for optimized results.
+
+## FlagEmbeddingReranker
+
+To enable FlagEmbeddingReranker, set the `reranker.mode` property in the `settings.yaml` file to `flagembedding` and install the `reranker-flagembedding` extra.
+
+```bash
+poetry install --extras reranker-flagembedding
+```
+
+Download / Setup models from huggingface.
+
+```bash
+poetry run python scripts/setup
+```
+
+The FlagEmbeddingReranker can be configured using the following parameters:
+
+- **top_n**: Represents the number of top documents to retrieve.
+- **cut_off**: A threshold score for similarity below which documents are dismissed.
+- **hf_model_name**: The Hugging Face model identifier for the FlagReranker.
+
+### Behavior of Reranker
+
+The functionality of the `Reranker` is as follows:
+
+1. It evaluates the similarity between a query and documents retrieved by the retriever.
+2. If the similarity score is less than `cut_off`, the document is excluded from the results.
+3. In scenarios where the filtered documents are fewer than `top_n`, the system defaults to providing the top `top_n` documents ignoring the `cut_off` score.
+4. The `hf_model_name` parameter allows users to specify the particular FlagReranker model from [Hugging Face](https://huggingface.co/) for the reranking process.
+
+### Example Usage
+
+To utilize the `Reranker` with your desired settings:
+
+```yml
+flagembedding_reranker:
+  hf_model_name: BAAI/bge-reranker-large
+  top_n: 5
+  cut_off: 0.75
+```
+
+## Conclusion
+
+`Reranker` serves as a [Node Postprocessor](https://docs.llamaindex.ai/en/stable/module_guides/querying/node_postprocessors/root.html). With these settings, it offers a robust and flexible way to improve the performance of the RAG system by filtering and ranking the retrieved documents based on relevancy.
diff --git a/poetry.lock b/poetry.lock
index 38c2374c0..9e1bb555b 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,34 @@
-# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
+
+[[package]]
+name = "accelerate"
+version = "0.28.0"
+description = "Accelerate"
+optional = true
+python-versions = ">=3.8.0"
+files = [
+    {file = "accelerate-0.28.0-py3-none-any.whl", hash = "sha256:8ae25f8a8dc4cf12283842c469113836300545fb0dfa46fef331fb0a2ac8b421"},
+    {file = "accelerate-0.28.0.tar.gz", hash = "sha256:32019a49f4b3a85cc179ac4e38e9e2971f1a997dee026be0512816499464c4d5"},
+]
+
+[package.dependencies]
+huggingface-hub = "*"
+numpy = ">=1.17"
+packaging = ">=20.0"
+psutil = "*"
+pyyaml = "*"
+safetensors = ">=0.3.1"
+torch = ">=1.10.0"
+
+[package.extras]
+dev = ["bitsandbytes", "black (>=23.1,<24.0)", "datasets", "deepspeed (<0.13.0)", "evaluate", "hf-doc-builder (>=0.3.0)", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist", "rich", "ruff (>=0.2.1,<0.3.0)", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
+quality = ["black (>=23.1,<24.0)", "hf-doc-builder (>=0.3.0)", "ruff (>=0.2.1,<0.3.0)"]
+rich = ["rich"]
+sagemaker = ["sagemaker"]
+test-dev = ["bitsandbytes", "datasets", "deepspeed (<0.13.0)", "evaluate", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
+test-prod = ["parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist"]
+test-trackers = ["comet-ml", "dvclive", "tensorboard", "wandb"]
+testing = ["bitsandbytes", "datasets", "deepspeed (<0.13.0)", "evaluate", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
 
 [[package]]
 name = "aiofiles"
@@ -13,87 +43,87 @@ files = [
 
 [[package]]
 name = "aiohttp"
-version = "3.9.1"
+version = "3.9.3"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.8"
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 [package.dependencies]
@@ -156,13 +186,13 @@ files = [
 
 [[package]]
 name = "anyio"
-version = "3.7.1"
+version = "4.3.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -170,9 +200,9 @@ idna = ">=2.8"
 sniffio = ">=1.1"
 
 [package.extras]
-doc = ["Sphinx", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme (>=1.2.2)", "sphinxcontrib-jquery"]
-test = ["anyio[trio]", "coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "mock (>=4)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
-trio = ["trio (<0.22)"]
+doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
+trio = ["trio (>=0.23)"]
 
 [[package]]
 name = "asgiref"
@@ -258,21 +288,22 @@ test = ["flake8 (>=6.1,<7.0)", "uvloop (>=0.15.3)"]
 
 [[package]]
 name = "attrs"
-version = "23.1.0"
+version = "23.2.0"
 description = "Classes Without Boilerplate"
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "attrs-23.2.0-py3-none-any.whl", hash = "sha256:99b87a485a5820b23b879f04c2305b44b951b502fd64be915879d77a7e8fc6f1"},
+    {file = "attrs-23.2.0.tar.gz", hash = "sha256:935dc3b529c262f6cf76e50877d35a4bd3c1de194fd41f47a2b7ae8f19971f30"},
 ]
 
 [package.extras]
 cov = ["attrs[tests]", "coverage[toml] (>=5.3)"]
-dev = ["attrs[docs,tests]", "pre-commit"]
+dev = ["attrs[tests]", "pre-commit"]
 docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"]
 tests = ["attrs[tests-no-zope]", "zope-interface"]
-tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=1.1.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+tests-mypy = ["mypy (>=1.6)", "pytest-mypy-plugins"]
+tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"]
 
 [[package]]
 name = "azure-core"
@@ -417,17 +448,17 @@ uvloop = ["uvloop (>=0.15.2)"]
 
 [[package]]
 name = "boto3"
-version = "1.34.51"
+version = "1.34.62"
 description = "The AWS SDK for Python"
 optional = true
 python-versions = ">= 3.8"
 files = [
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+    {file = "boto3-1.34.62.tar.gz", hash = "sha256:7373e50b97e27f55c5b2a15a095e7bb45a7d962ced4d1468650dced57087c56b"},
 ]
 
 [package.dependencies]
-botocore = ">=1.34.51,<1.35.0"
+botocore = ">=1.34.62,<1.35.0"
 jmespath = ">=0.7.1,<2.0.0"
 s3transfer = ">=0.10.0,<0.11.0"
 
@@ -436,13 +467,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.34.51"
+version = "1.34.62"
 description = "Low-level, data-driven core of boto 3."
 optional = true
 python-versions = ">= 3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -469,13 +500,13 @@ beautifulsoup4 = "*"
 
 [[package]]
 name = "build"
-version = "1.0.3"
+version = "1.1.1"
 description = "A simple, correct Python build frontend"
 optional = true
 python-versions = ">= 3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -491,24 +522,24 @@ virtualenv = ["virtualenv (>=20.0.35)"]
 
 [[package]]
 name = "cachetools"
-version = "5.3.2"
+version = "5.3.3"
 description = "Extensible memoizing collections and decorators"
 optional = true
 python-versions = ">=3.7"
 files = [
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 ]
 
 [[package]]
 name = "certifi"
-version = "2023.11.17"
+version = "2024.2.2"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
 files = [
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 ]
 
 [[package]]
@@ -870,63 +901,63 @@ test-no-images = ["pytest", "pytest-cov", "pytest-xdist", "wurlitzer"]
 
 [[package]]
 name = "coverage"
-version = "7.3.3"
+version = "7.4.3"
 description = "Code coverage measurement for Python"
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 python-versions = ">=3.8"
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@@ -1003,19 +1034,63 @@ tests = ["pytest", "pytest-cov", "pytest-xdist"]
 
 [[package]]
 name = "dataclasses-json"
-version = "0.5.14"
+version = "0.6.4"
 description = "Easily serialize dataclasses to and from JSON."
 optional = false
-python-versions = ">=3.7,<3.13"
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 files = [
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 [package.dependencies]
 marshmallow = ">=3.18.0,<4.0.0"
 typing-inspect = ">=0.4.0,<1"
 
+[[package]]
+name = "datasets"
+version = "2.18.0"
+description = "HuggingFace community-driven open-source library of datasets"
+optional = true
+python-versions = ">=3.8.0"
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+pyarrow-hotfix = "*"
+pyyaml = ">=5.1"
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+tqdm = ">=4.62.1"
+xxhash = "*"
+
+[package.extras]
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+jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"]
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+torch = ["torch"]
+vision = ["Pillow (>=6.2.1)"]
+
 [[package]]
 name = "deprecated"
 version = "1.2.14"
@@ -1033,6 +1108,21 @@ wrapt = ">=1.10,<2"
 [package.extras]
 dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "sphinx (<2)", "tox"]
 
+[[package]]
+name = "dill"
+version = "0.3.8"
+description = "serialize all of Python"
+optional = true
+python-versions = ">=3.8"
+files = [
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+[package.extras]
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+profile = ["gprof2dot (>=2022.7.29)"]
+
 [[package]]
 name = "dirtyjson"
 version = "1.0.8"
@@ -1068,43 +1158,44 @@ files = [
 
 [[package]]
 name = "distro"
-version = "1.8.0"
+version = "1.9.0"
 description = "Distro - an OS platform information API"
 optional = false
 python-versions = ">=3.6"
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 ]
 
 [[package]]
 name = "dnspython"
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+version = "2.6.1"
 description = "DNS toolkit"
 optional = false
-python-versions = ">=3.8,<4.0"
+python-versions = ">=3.8"
 files = [
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-trio = ["trio (>=0.14,<0.23)"]
-wmi = ["wmi (>=1.5.1,<2.0.0)"]
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+trio = ["trio (>=0.23)"]
+wmi = ["wmi (>=1.5.1)"]
 
 [[package]]
 name = "email-validator"
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+version = "2.1.1"
 description = "A robust email address syntax and deliverability validation library."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -1143,12 +1234,12 @@ all = ["email-validator (>=2.0.0)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)"
 
 [[package]]
 name = "ffmpy"
-version = "0.3.1"
+version = "0.3.2"
 description = "A simple Python wrapper for ffmpeg"
 optional = true
 python-versions = "*"
 files = [
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 ]
 
 [[package]]
@@ -1167,73 +1258,90 @@ docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1
 testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)"]
 typing = ["typing-extensions (>=4.8)"]
 
+[[package]]
+name = "flagembedding"
+version = "1.2.5"
+description = "FlagEmbedding"
+optional = true
+python-versions = "*"
+files = [
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+]
+
+[package.dependencies]
+accelerate = ">=0.20.1"
+datasets = "*"
+sentence_transformers = "*"
+torch = ">=1.6.0"
+transformers = ">=4.33.0"
+
 [[package]]
 name = "flatbuffers"
-version = "23.5.26"
+version = "24.3.7"
 description = "The FlatBuffers serialization format for Python"
 optional = true
 python-versions = "*"
 files = [
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+all = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "fs (>=2.2.0,<3)", "lxml (>=4.0)", "lz4 (>=1.7.4.2)", "matplotlib", "munkres", "pycairo", "scipy", "skia-pathops (>=0.5.0)", "sympy", "uharfbuzz (>=0.23.0)", "unicodedata2 (>=15.1.0)", "xattr", "zopfli (>=0.1.4)"]
 graphite = ["lz4 (>=1.7.4.2)"]
-interpolatable = ["munkres", "scipy"]
-lxml = ["lxml (>=4.0,<5)"]
+interpolatable = ["munkres", "pycairo", "scipy"]
+lxml = ["lxml (>=4.0)"]
 pathops = ["skia-pathops (>=0.5.0)"]
 plot = ["matplotlib"]
 repacker = ["uharfbuzz (>=0.23.0)"]
@@ -1331,15 +1439,18 @@ files = [
 
 [[package]]
 name = "fsspec"
-version = "2023.12.2"
+version = "2024.2.0"
 description = "File-system specification"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
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+aiohttp = {version = "<4.0.0a0 || >4.0.0a0,<4.0.0a1 || >4.0.0a1", optional = true, markers = "extra == \"http\""}
+
 [package.extras]
 abfs = ["adlfs"]
 adl = ["adlfs"]
@@ -1355,7 +1466,7 @@ github = ["requests"]
 gs = ["gcsfs"]
 gui = ["panel"]
 hdfs = ["pyarrow (>=1)"]
-http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "requests"]
+http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)"]
 libarchive = ["libarchive-c"]
 oci = ["ocifs"]
 s3 = ["s3fs"]
@@ -1366,13 +1477,13 @@ tqdm = ["tqdm"]
 
 [[package]]
 name = "google-auth"
-version = "2.25.2"
+version = "2.28.2"
 description = "Google Authentication Library"
 optional = true
 python-versions = ">=3.7"
 files = [
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 [package.dependencies]
@@ -1389,13 +1500,13 @@ requests = ["requests (>=2.20.0,<3.0.0.dev0)"]
 
 [[package]]
 name = "googleapis-common-protos"
-version = "1.62.0"
+version = "1.63.0"
 description = "Common protobufs used in Google APIs"
 optional = true
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -1406,13 +1517,13 @@ grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"]
 
 [[package]]
 name = "gradio"
-version = "4.19.2"
+version = "4.21.0"
 description = "Python library for easily interacting with trained machine learning models"
 optional = true
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
@@ -1420,7 +1531,7 @@ aiofiles = ">=22.0,<24.0"
 altair = ">=4.2.0,<6.0"
 fastapi = "*"
 ffmpy = "*"
-gradio-client = "0.10.1"
+gradio-client = "0.12.0"
 httpx = ">=0.24.1"
 huggingface-hub = ">=0.19.3"
 importlib-resources = ">=1.3,<7.0"
@@ -1448,13 +1559,13 @@ oauth = ["authlib", "itsdangerous"]
 
 [[package]]
 name = "gradio-client"
-version = "0.10.1"
+version = "0.12.0"
 description = "Python library for easily interacting with trained machine learning models"
 optional = true
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -1467,206 +1578,206 @@ websockets = ">=10.0,<12.0"
 
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+version = "3.0.3"
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 python-versions = ">=3.7"
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 [package.extras]
-docs = ["Sphinx"]
+docs = ["Sphinx", "furo"]
 test = ["objgraph", "psutil"]
 
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 ]
 
 [package.dependencies]
-grpcio = ">=1.60.0"
+grpcio = ">=1.62.1"
 protobuf = ">=4.21.6,<5.0dev"
 setuptools = "*"
 
@@ -1709,13 +1820,13 @@ files = [
 
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 python-versions = ">=3.8"
 files = [
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-    {file = "httpcore-1.0.2.tar.gz", hash = "sha256:9fc092e4799b26174648e54b74ed5f683132a464e95643b226e00c2ed2fa6535"},
+    {file = "httpcore-1.0.4-py3-none-any.whl", hash = "sha256:ac418c1db41bade2ad53ae2f3834a3a0f5ae76b56cf5aa497d2d033384fc7d73"},
+    {file = "httpcore-1.0.4.tar.gz", hash = "sha256:cb2839ccfcba0d2d3c1131d3c3e26dfc327326fbe7a5dc0dbfe9f6c9151bb022"},
 ]
 
 [package.dependencies]
@@ -1726,7 +1837,7 @@ h11 = ">=0.13,<0.15"
 asyncio = ["anyio (>=4.0,<5.0)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
-trio = ["trio (>=0.22.0,<0.23.0)"]
+trio = ["trio (>=0.22.0,<0.25.0)"]
 
 [[package]]
 name = "httptools"
@@ -1778,13 +1889,13 @@ test = ["Cython (>=0.29.24,<0.30.0)"]
 
 [[package]]
 name = "httpx"
-version = "0.25.2"
+version = "0.27.0"
 description = "The next generation HTTP client."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "httpx-0.25.2-py3-none-any.whl", hash = "sha256:a05d3d052d9b2dfce0e3896636467f8a5342fb2b902c819428e1ac65413ca118"},
-    {file = "httpx-0.25.2.tar.gz", hash = "sha256:8b8fcaa0c8ea7b05edd69a094e63a2094c4efcb48129fb757361bc423c0ad9e8"},
+    {file = "httpx-0.27.0-py3-none-any.whl", hash = "sha256:71d5465162c13681bff01ad59b2cc68dd838ea1f10e51574bac27103f00c91a5"},
+    {file = "httpx-0.27.0.tar.gz", hash = "sha256:a0cb88a46f32dc874e04ee956e4c2764aba2aa228f650b06788ba6bda2962ab5"},
 ]
 
 [package.dependencies]
@@ -1803,13 +1914,13 @@ socks = ["socksio (==1.*)"]
 
 [[package]]
 name = "huggingface-hub"
-version = "0.19.4"
+version = "0.21.4"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
 files = [
-    {file = "huggingface_hub-0.19.4-py3-none-any.whl", hash = "sha256:dba013f779da16f14b606492828f3760600a1e1801432d09fe1c33e50b825bb5"},
-    {file = "huggingface_hub-0.19.4.tar.gz", hash = "sha256:176a4fc355a851c17550e7619488f383189727eab209534d7cef2114dae77b22"},
+    {file = "huggingface_hub-0.21.4-py3-none-any.whl", hash = "sha256:df37c2c37fc6c82163cdd8a67ede261687d80d1e262526d6c0ce73b6b3630a7b"},
+    {file = "huggingface_hub-0.21.4.tar.gz", hash = "sha256:e1f4968c93726565a80edf6dc309763c7b546d0cfe79aa221206034d50155531"},
 ]
 
 [package.dependencies]
@@ -1824,16 +1935,16 @@ tqdm = ">=4.42.1"
 typing-extensions = ">=3.7.4.3"
 
 [package.extras]
-all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 cli = ["InquirerPy (==0.3.4)"]
-dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
-docs = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "hf-doc-builder", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)", "watchdog"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
+hf-transfer = ["hf-transfer (>=0.1.4)"]
 inference = ["aiohttp", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)"]
 quality = ["mypy (==1.5.1)", "ruff (>=0.1.3)"]
 tensorflow = ["graphviz", "pydot", "tensorflow"]
-testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
-torch = ["torch"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+torch = ["safetensors", "torch"]
 typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
 [[package]]
@@ -1863,13 +1974,13 @@ files = [
 
 [[package]]
 name = "identify"
-version = "2.5.33"
+version = "2.5.35"
 description = "File identification library for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "identify-2.5.33-py2.py3-none-any.whl", hash = "sha256:d40ce5fcd762817627670da8a7d8d8e65f24342d14539c59488dc603bf662e34"},
-    {file = "identify-2.5.33.tar.gz", hash = "sha256:161558f9fe4559e1557e1bff323e8631f6a0e4837f7497767c1782832f16b62d"},
+    {file = "identify-2.5.35-py2.py3-none-any.whl", hash = "sha256:c4de0081837b211594f8e877a6b4fad7ca32bbfc1a9307fdd61c28bfe923f13e"},
+    {file = "identify-2.5.35.tar.gz", hash = "sha256:10a7ca245cfcd756a554a7288159f72ff105ad233c7c4b9c6f0f4d108f5f6791"},
 ]
 
 [package.extras]
@@ -1907,18 +2018,18 @@ testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs
 
 [[package]]
 name = "importlib-resources"
-version = "6.1.1"
+version = "6.3.0"
 description = "Read resources from Python packages"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "importlib_resources-6.1.1-py3-none-any.whl", hash = "sha256:e8bf90d8213b486f428c9c39714b920041cb02c184686a3dee24905aaa8105d6"},
-    {file = "importlib_resources-6.1.1.tar.gz", hash = "sha256:3893a00122eafde6894c59914446a512f728a0c1a45f9bb9b63721b6bacf0b4a"},
+    {file = "importlib_resources-6.3.0-py3-none-any.whl", hash = "sha256:783407aa1cd05550e3aa123e8f7cfaebee35ffa9cb0242919e2d1e4172222705"},
+    {file = "importlib_resources-6.3.0.tar.gz", hash = "sha256:166072a97e86917a9025876f34286f549b9caf1d10b35a1b372bffa1600c6569"},
 ]
 
 [package.extras]
 docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-ruff", "zipp (>=3.17)"]
+testing = ["jaraco.collections", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-ruff (>=0.2.1)", "zipp (>=3.17)"]
 
 [[package]]
 name = "iniconfig"
@@ -1958,13 +2069,13 @@ files = [
 
 [[package]]
 name = "jinja2"
-version = "3.1.2"
+version = "3.1.3"
 description = "A very fast and expressive template engine."
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "Jinja2-3.1.2-py3-none-any.whl", hash = "sha256:6088930bfe239f0e6710546ab9c19c9ef35e29792895fed6e6e31a023a182a61"},
-    {file = "Jinja2-3.1.2.tar.gz", hash = "sha256:31351a702a408a9e7595a8fc6150fc3f43bb6bf7e319770cbc0db9df9437e852"},
+    {file = "Jinja2-3.1.3-py3-none-any.whl", hash = "sha256:7d6d50dd97d52cbc355597bd845fabfbac3f551e1f99619e39a35ce8c370b5fa"},
+    {file = "Jinja2-3.1.3.tar.gz", hash = "sha256:ac8bd6544d4bb2c9792bf3a159e80bba8fda7f07e81bc3aed565432d5925ba90"},
 ]
 
 [package.dependencies]
@@ -1997,13 +2108,13 @@ files = [
 
 [[package]]
 name = "jsonschema"
-version = "4.20.0"
+version = "4.21.1"
 description = "An implementation of JSON Schema validation for Python"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "jsonschema-4.20.0-py3-none-any.whl", hash = "sha256:ed6231f0429ecf966f5bc8dfef245998220549cbbcf140f913b7464c52c3b6b3"},
-    {file = "jsonschema-4.20.0.tar.gz", hash = "sha256:4f614fd46d8d61258610998997743ec5492a648b33cf478c1ddc23ed4598a5fa"},
+    {file = "jsonschema-4.21.1-py3-none-any.whl", hash = "sha256:7996507afae316306f9e2290407761157c6f78002dcf7419acb99822143d1c6f"},
+    {file = "jsonschema-4.21.1.tar.gz", hash = "sha256:85727c00279f5fa6bedbe6238d2aa6403bedd8b4864ab11207d07df3cc1b2ee5"},
 ]
 
 [package.dependencies]
@@ -2018,13 +2129,13 @@ format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-
 
 [[package]]
 name = "jsonschema-specifications"
-version = "2023.11.2"
+version = "2023.12.1"
 description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "jsonschema_specifications-2023.11.2-py3-none-any.whl", hash = "sha256:e74ba7c0a65e8cb49dc26837d6cfe576557084a8b423ed16a420984228104f93"},
-    {file = "jsonschema_specifications-2023.11.2.tar.gz", hash = "sha256:9472fc4fea474cd74bea4a2b190daeccb5a9e4db2ea80efcf7a1b582fc9a81b8"},
+    {file = "jsonschema_specifications-2023.12.1-py3-none-any.whl", hash = "sha256:87e4fdf3a94858b8a2ba2778d9ba57d8a9cafca7c7489c46ba0d30a8bc6a9c3c"},
+    {file = "jsonschema_specifications-2023.12.1.tar.gz", hash = "sha256:48a76787b3e70f5ed53f1160d2b81f586e4ca6d1548c5de7085d1682674764cc"},
 ]
 
 [package.dependencies]
@@ -2145,13 +2256,13 @@ files = [
 
 [[package]]
 name = "kubernetes"
-version = "28.1.0"
+version = "29.0.0"
 description = "Kubernetes python client"
 optional = true
 python-versions = ">=3.6"
 files = [
-    {file = "kubernetes-28.1.0-py2.py3-none-any.whl", hash = "sha256:10f56f8160dcb73647f15fafda268e7f60cf7dbc9f8e46d52fcd46d3beb0c18d"},
-    {file = "kubernetes-28.1.0.tar.gz", hash = "sha256:1468069a573430fb1cb5ad22876868f57977930f80a6749405da31cd6086a7e9"},
+    {file = "kubernetes-29.0.0-py2.py3-none-any.whl", hash = "sha256:ab8cb0e0576ccdfb71886366efb102c6a20f268d817be065ce7f9909c631e43e"},
+    {file = "kubernetes-29.0.0.tar.gz", hash = "sha256:c4812e227ae74d07d53c88293e564e54b850452715a59a927e7e1bc6b9a60459"},
 ]
 
 [package.dependencies]
@@ -2163,7 +2274,7 @@ pyyaml = ">=5.4.1"
 requests = "*"
 requests-oauthlib = "*"
 six = ">=1.9.0"
-urllib3 = ">=1.24.2,<2.0"
+urllib3 = ">=1.24.2"
 websocket-client = ">=0.32.0,<0.40.0 || >0.40.0,<0.41.dev0 || >=0.43.dev0"
 
 [package.extras]
@@ -2171,12 +2282,12 @@ adal = ["adal (>=1.0.2)"]
 
 [[package]]
 name = "llama-cpp-python"
-version = "0.2.53"
+version = "0.2.56"
 description = "Python bindings for the llama.cpp library"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "llama_cpp_python-0.2.53.tar.gz", hash = "sha256:f7ff8eda538ca6c80521a8bbf80d3ef4527ecb28f6d08fa9b3bb1f0cfc3b684e"},
+    {file = "llama_cpp_python-0.2.56.tar.gz", hash = "sha256:9c82db80e929ae93c2ab069a76a8a52aac82479cf9d0523c3550af48554cc785"},
 ]
 
 [package.dependencies]
@@ -2193,13 +2304,13 @@ test = ["httpx (>=0.24.1)", "pytest (>=7.4.0)", "scipy (>=1.10)"]
 
 [[package]]
 name = "llama-index-core"
-version = "0.10.14.post1"
+version = "0.10.19"
 description = "Interface between LLMs and your data"
 optional = false
 python-versions = ">=3.8.1,<4.0"
 files = [
-    {file = "llama_index_core-0.10.14.post1-py3-none-any.whl", hash = "sha256:7b12ebebe023e8f5e50c0fcff4af7a67e4842b2e1ca6a84b09442394d2689de6"},
-    {file = "llama_index_core-0.10.14.post1.tar.gz", hash = "sha256:adb931fced7bff092b26599e7f89952c171bf2994872906b5712ecc8107d4727"},
+    {file = "llama_index_core-0.10.19-py3-none-any.whl", hash = "sha256:53c96712de51778f4b880d730ab59bb072caf14b46718d0cb5ec86d622195ed6"},
+    {file = "llama_index_core-0.10.19.tar.gz", hash = "sha256:ecb369a58b7ae72fcd26a6a3c58b582cfdb9b513918a88c79757128d932c7945"},
 ]
 
 [package.dependencies]
@@ -2231,7 +2342,7 @@ gradientai = ["gradientai (>=1.4.0)"]
 html = ["beautifulsoup4 (>=4.12.2,<5.0.0)"]
 langchain = ["langchain (>=0.0.303)"]
 local-models = ["optimum[onnxruntime] (>=1.13.2,<2.0.0)", "sentencepiece (>=0.1.99,<0.2.0)", "transformers[torch] (>=4.33.1,<5.0.0)"]
-postgres = ["asyncpg (>=0.28.0,<0.29.0)", "pgvector (>=0.1.0,<0.2.0)", "psycopg2-binary (>=2.9.9,<3.0.0)"]
+postgres = ["asyncpg (>=0.29.0,<0.30.0)", "pgvector (>=0.2.4,<0.3.0)", "psycopg2-binary (>=2.9.9,<3.0.0)"]
 query-tools = ["guidance (>=0.0.64,<0.0.65)", "jsonpath-ng (>=1.6.0,<2.0.0)", "lm-format-enforcer (>=0.4.3,<0.5.0)", "rank-bm25 (>=0.2.2,<0.3.0)", "scikit-learn", "spacy (>=3.7.1,<4.0.0)"]
 
 [[package]]
@@ -2343,17 +2454,17 @@ llama-index-core = ">=0.10.1,<0.11.0"
 
 [[package]]
 name = "llama-index-llms-openai"
-version = "0.1.6"
+version = "0.1.9"
 description = "llama-index llms openai integration"
 optional = true
 python-versions = ">=3.8.1,<4.0"
 files = [
-    {file = "llama_index_llms_openai-0.1.6-py3-none-any.whl", hash = "sha256:4260ad31c3444e97ec8a8d061cb6dbf1074262b82341a2b69d2b27e8a23efe62"},
-    {file = "llama_index_llms_openai-0.1.6.tar.gz", hash = "sha256:15530dfa3893b15c5576ebc71e01b77acbf47abd689219436fdf7b6ca567a9fd"},
+    {file = "llama_index_llms_openai-0.1.9-py3-none-any.whl", hash = "sha256:fe9d794b656b7efc5415d40835e1fd60f978aa1aae39e7c2b9bbc8ad2de510f2"},
+    {file = "llama_index_llms_openai-0.1.9.tar.gz", hash = "sha256:a897103a90846472067eae63859c4f596f98bfb7f07d5c05727e29bf0fc58b69"},
 ]
 
 [package.dependencies]
-llama-index-core = ">=0.10.1,<0.11.0"
+llama-index-core = ">=0.10.19,<0.11.0"
 
 [[package]]
 name = "llama-index-llms-openai-like"
@@ -2373,13 +2484,13 @@ transformers = ">=4.37.0,<5.0.0"
 
 [[package]]
 name = "llama-index-readers-file"
-version = "0.1.6"
+version = "0.1.11"
 description = "llama-index readers file integration"
 optional = false
 python-versions = ">=3.8.1,<4.0"
 files = [
-    {file = "llama_index_readers_file-0.1.6-py3-none-any.whl", hash = "sha256:f583bd90353a0c0985213af02c97aa2f2f22e702d4311fe719de91382c9ad8dd"},
-    {file = "llama_index_readers_file-0.1.6.tar.gz", hash = "sha256:d9fc0ca84926d04bd757c57fe87841cd9dbc2606aab5f2ce927deec14aaa1a74"},
+    {file = "llama_index_readers_file-0.1.11-py3-none-any.whl", hash = "sha256:69fe380ac46b7f6db43384e18bc37f880b2627d60677cb0b2c6074fbb42a5971"},
+    {file = "llama_index_readers_file-0.1.11.tar.gz", hash = "sha256:2414ea0d82aa151935cf3ff1669d324a01fd12b0059705ba5f62741ef980f8bd"},
 ]
 
 [package.dependencies]
@@ -2388,6 +2499,7 @@ bs4 = ">=0.0.2,<0.0.3"
 llama-index-core = ">=0.10.1,<0.11.0"
 pymupdf = ">=1.23.21,<2.0.0"
 pypdf = ">=4.0.1,<5.0.0"
+striprtf = ">=0.0.26,<0.0.27"
 
 [[package]]
 name = "llama-index-storage-docstore-postgres"
@@ -2419,30 +2531,28 @@ llama-index-core = ">=0.10.1,<0.11.0"
 
 [[package]]
 name = "llama-index-vector-stores-chroma"
-version = "0.1.4"
+version = "0.1.6"
 description = "llama-index vector_stores chroma integration"
 optional = true
 python-versions = ">=3.8.1,<4.0"
 files = [
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 [[package]]
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 description = "llama-index vector_stores postgres integration"
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 [package.dependencies]
@@ -2454,13 +2564,13 @@ sqlalchemy = {version = ">=2.0.25,<3.0.0", extras = ["asyncio"]}
 
 [[package]]
 name = "llama-index-vector-stores-qdrant"
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+    {file = "numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f870204a840a60da0b12273ef34f7051e98c3b5961b61b0c2c1be6dfd64fbcd3"},
+    {file = "numpy-1.26.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:679b0076f67ecc0138fd2ede3a8fd196dddc2ad3254069bcb9faf9a79b1cebcd"},
+    {file = "numpy-1.26.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:47711010ad8555514b434df65f7d7b076bb8261df1ca9bb78f53d3b2db02e95c"},
+    {file = "numpy-1.26.4-cp39-cp39-win32.whl", hash = "sha256:a354325ee03388678242a4d7ebcd08b5c727033fcff3b2f536aea978e15ee9e6"},
+    {file = "numpy-1.26.4-cp39-cp39-win_amd64.whl", hash = "sha256:3373d5d70a5fe74a2c1bb6d2cfd9609ecf686d47a2d7b1d37a8f3b6bf6003aea"},
+    {file = "numpy-1.26.4-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:afedb719a9dcfc7eaf2287b839d8198e06dcd4cb5d276a3df279231138e83d30"},
+    {file = "numpy-1.26.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:95a7476c59002f2f6c590b9b7b998306fba6a5aa646b1e22ddfeaf8f78c3a29c"},
+    {file = "numpy-1.26.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:7e50d0a0cc3189f9cb0aeb3a6a6af18c16f59f004b866cd2be1c14b36134a4a0"},
+    {file = "numpy-1.26.4.tar.gz", hash = "sha256:2a02aba9ed12e4ac4eb3ea9421c420301a0c6460d9830d74a9df87efa4912010"},
 ]
 
 [[package]]
@@ -3157,24 +3326,24 @@ nvidia-nvjitlink-cu12 = "*"
 
 [[package]]
 name = "nvidia-nccl-cu12"
-version = "2.18.1"
+version = "2.19.3"
 description = "NVIDIA Collective Communication Library (NCCL) Runtime"
 optional = true
 python-versions = ">=3"
 files = [
-    {file = "nvidia_nccl_cu12-2.18.1-py3-none-manylinux1_x86_64.whl", hash = "sha256:1a6c4acefcbebfa6de320f412bf7866de856e786e0462326ba1bac40de0b5e71"},
+    {file = "nvidia_nccl_cu12-2.19.3-py3-none-manylinux1_x86_64.whl", hash = "sha256:a9734707a2c96443331c1e48c717024aa6678a0e2a4cb66b2c364d18cee6b48d"},
 ]
 
 [[package]]
 name = "nvidia-nvjitlink-cu12"
-version = "12.3.101"
+version = "12.4.99"
 description = "Nvidia JIT LTO Library"
 optional = true
 python-versions = ">=3"
 files = [
-    {file = "nvidia_nvjitlink_cu12-12.3.101-py3-none-manylinux1_x86_64.whl", hash = "sha256:64335a8088e2b9d196ae8665430bc6a2b7e6ef2eb877a9c735c804bd4ff6467c"},
-    {file = "nvidia_nvjitlink_cu12-12.3.101-py3-none-manylinux2014_aarch64.whl", hash = "sha256:211a63e7b30a9d62f1a853e19928fbb1a750e3f17a13a3d1f98ff0ced19478dd"},
-    {file = "nvidia_nvjitlink_cu12-12.3.101-py3-none-win_amd64.whl", hash = "sha256:1b2e317e437433753530792f13eece58f0aec21a2b05903be7bffe58a606cbd1"},
+    {file = "nvidia_nvjitlink_cu12-12.4.99-py3-none-manylinux2014_aarch64.whl", hash = "sha256:75d6498c96d9adb9435f2bbdbddb479805ddfb97b5c1b32395c694185c20ca57"},
+    {file = "nvidia_nvjitlink_cu12-12.4.99-py3-none-manylinux2014_x86_64.whl", hash = "sha256:c6428836d20fe7e327191c175791d38570e10762edc588fb46749217cd444c74"},
+    {file = "nvidia_nvjitlink_cu12-12.4.99-py3-none-win_amd64.whl", hash = "sha256:991905ffa2144cb603d8ca7962d75c35334ae82bf92820b6ba78157277da1ad2"},
 ]
 
 [[package]]
@@ -3248,13 +3417,13 @@ sympy = "*"
 
 [[package]]
 name = "openai"
-version = "1.5.0"
+version = "1.14.0"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.7.1"
 files = [
-    {file = "openai-1.5.0-py3-none-any.whl", hash = "sha256:42d8c84b0714c990e18afe81d37f8a64423e8196bf7157b8ea665b8d8f393253"},
-    {file = "openai-1.5.0.tar.gz", hash = "sha256:4cd91e97988ccd6c44f815107def9495cbc718aeb8b28be33a87b6fa2c432508"},
+    {file = "openai-1.14.0-py3-none-any.whl", hash = "sha256:5c9fd3a59f5cbdb4020733ddf79a22f6b7a36d561968cb3f3dd255cdd263d9fe"},
+    {file = "openai-1.14.0.tar.gz", hash = "sha256:e287057adf0ec3315abc32ddcc968d095879abd9b68bf51c0402dab13ab5ae9b"},
 ]
 
 [package.dependencies]
@@ -3264,20 +3433,20 @@ httpx = ">=0.23.0,<1"
 pydantic = ">=1.9.0,<3"
 sniffio = "*"
 tqdm = ">4"
-typing-extensions = ">=4.5,<5"
+typing-extensions = ">=4.7,<5"
 
 [package.extras]
 datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
 
 [[package]]
 name = "opentelemetry-api"
-version = "1.21.0"
+version = "1.23.0"
 description = "OpenTelemetry Python API"
 optional = true
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_api-1.21.0-py3-none-any.whl", hash = "sha256:4bb86b28627b7e41098f0e93280fe4892a1abed1b79a19aec6f928f39b17dffb"},
-    {file = "opentelemetry_api-1.21.0.tar.gz", hash = "sha256:d6185fd5043e000075d921822fd2d26b953eba8ca21b1e2fa360dd46a7686316"},
+    {file = "opentelemetry_api-1.23.0-py3-none-any.whl", hash = "sha256:cc03ea4025353048aadb9c64919099663664672ea1c6be6ddd8fee8e4cd5e774"},
+    {file = "opentelemetry_api-1.23.0.tar.gz", hash = "sha256:14a766548c8dd2eb4dfc349739eb4c3893712a0daa996e5dbf945f9da665da9d"},
 ]
 
 [package.dependencies]
@@ -3286,52 +3455,50 @@ importlib-metadata = ">=6.0,<7.0"
 
 [[package]]
 name = "opentelemetry-exporter-otlp-proto-common"
-version = "1.21.0"
+version = "1.23.0"
 description = "OpenTelemetry Protobuf encoding"
 optional = true
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_exporter_otlp_proto_common-1.21.0-py3-none-any.whl", hash = "sha256:97b1022b38270ec65d11fbfa348e0cd49d12006485c2321ea3b1b7037d42b6ec"},
-    {file = "opentelemetry_exporter_otlp_proto_common-1.21.0.tar.gz", hash = "sha256:61db274d8a68d636fb2ec2a0f281922949361cdd8236e25ff5539edf942b3226"},
+    {file = "opentelemetry_exporter_otlp_proto_common-1.23.0-py3-none-any.whl", hash = "sha256:2a9e7e9d5a8b026b572684b6b24dcdefcaa58613d5ce3d644130b0c373c056c1"},
+    {file = "opentelemetry_exporter_otlp_proto_common-1.23.0.tar.gz", hash = "sha256:35e4ea909e7a0b24235bd0aaf17fba49676527feb1823b46565ff246d5a1ab18"},
 ]
 
 [package.dependencies]
-backoff = {version = ">=1.10.0,<3.0.0", markers = "python_version >= \"3.7\""}
-opentelemetry-proto = "1.21.0"
+opentelemetry-proto = "1.23.0"
 
 [[package]]
 name = "opentelemetry-exporter-otlp-proto-grpc"
-version = "1.21.0"
+version = "1.23.0"
 description = "OpenTelemetry Collector Protobuf over gRPC Exporter"
 optional = true
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_exporter_otlp_proto_grpc-1.21.0-py3-none-any.whl", hash = "sha256:ab37c63d6cb58d6506f76d71d07018eb1f561d83e642a8f5aa53dddf306087a4"},
-    {file = "opentelemetry_exporter_otlp_proto_grpc-1.21.0.tar.gz", hash = "sha256:a497c5611245a2d17d9aa1e1cbb7ab567843d53231dcc844a62cea9f0924ffa7"},
+    {file = "opentelemetry_exporter_otlp_proto_grpc-1.23.0-py3-none-any.whl", hash = "sha256:40f9e3e7761eb34f2a1001f4543028783ac26e2db27e420d5374f2cca0182dad"},
+    {file = "opentelemetry_exporter_otlp_proto_grpc-1.23.0.tar.gz", hash = "sha256:aa1a012eea5342bfef51fcf3f7f22601dcb0f0984a07ffe6025b2fbb6d91a2a9"},
 ]
 
 [package.dependencies]
-backoff = {version = ">=1.10.0,<3.0.0", markers = "python_version >= \"3.7\""}
 deprecated = ">=1.2.6"
 googleapis-common-protos = ">=1.52,<2.0"
 grpcio = ">=1.0.0,<2.0.0"
 opentelemetry-api = ">=1.15,<2.0"
-opentelemetry-exporter-otlp-proto-common = "1.21.0"
-opentelemetry-proto = "1.21.0"
-opentelemetry-sdk = ">=1.21.0,<1.22.0"
+opentelemetry-exporter-otlp-proto-common = "1.23.0"
+opentelemetry-proto = "1.23.0"
+opentelemetry-sdk = ">=1.23.0,<1.24.0"
 
 [package.extras]
 test = ["pytest-grpc"]
 
 [[package]]
 name = "opentelemetry-instrumentation"
-version = "0.42b0"
+version = "0.44b0"
 description = "Instrumentation Tools & Auto Instrumentation for OpenTelemetry Python"
 optional = true
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_instrumentation-0.42b0-py3-none-any.whl", hash = "sha256:65ae54ddb90ca2d05d2d16bf6863173e7141eba1bbbf41fc9bbb02446adbe369"},
-    {file = "opentelemetry_instrumentation-0.42b0.tar.gz", hash = "sha256:6a653a1fed0f76eea32885321d77c750483e987eeefa4cbf219fc83559543198"},
+    {file = "opentelemetry_instrumentation-0.44b0-py3-none-any.whl", hash = "sha256:79560f386425176bcc60c59190064597096114c4a8e5154f1cb281bb4e47d2fc"},
+    {file = "opentelemetry_instrumentation-0.44b0.tar.gz", hash = "sha256:8213d02d8c0987b9b26386ae3e091e0477d6331673123df736479322e1a50b48"},
 ]
 
 [package.dependencies]
@@ -3341,57 +3508,57 @@ wrapt = ">=1.0.0,<2.0.0"
 
 [[package]]
 name = "opentelemetry-instrumentation-asgi"
-version = "0.42b0"
+version = "0.44b0"
 description = "ASGI instrumentation for OpenTelemetry"
 optional = true
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_instrumentation_asgi-0.42b0-py3-none-any.whl", hash = "sha256:79b7278fb614aba1bf2211060960d3e8501c1d7d9314b857b30ad80ba34a2805"},
-    {file = "opentelemetry_instrumentation_asgi-0.42b0.tar.gz", hash = "sha256:da1d5dd4f172c44c6c100dae352e1fd0ae36dc4f266b3fed68ce9d5ab94c9146"},
+    {file = "opentelemetry_instrumentation_asgi-0.44b0-py3-none-any.whl", hash = "sha256:0d95c84a8991008c8a8ac35e15d43cc7768a5bb46f95f129e802ad2990d7c366"},
+    {file = "opentelemetry_instrumentation_asgi-0.44b0.tar.gz", hash = "sha256:72d4d28ec7ccd551eac11edc5ae8cac3586c0a228467d6a95fad7b6d4edd597a"},
 ]
 
 [package.dependencies]
 asgiref = ">=3.0,<4.0"
 opentelemetry-api = ">=1.12,<2.0"
-opentelemetry-instrumentation = "0.42b0"
-opentelemetry-semantic-conventions = "0.42b0"
-opentelemetry-util-http = "0.42b0"
+opentelemetry-instrumentation = "0.44b0"
+opentelemetry-semantic-conventions = "0.44b0"
+opentelemetry-util-http = "0.44b0"
 
 [package.extras]
 instruments = ["asgiref (>=3.0,<4.0)"]
-test = ["opentelemetry-instrumentation-asgi[instruments]", "opentelemetry-test-utils (==0.42b0)"]
+test = ["opentelemetry-instrumentation-asgi[instruments]", "opentelemetry-test-utils (==0.44b0)"]
 
 [[package]]
 name = "opentelemetry-instrumentation-fastapi"
-version = "0.42b0"
+version = "0.44b0"
 description = "OpenTelemetry FastAPI Instrumentation"
 optional = true
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_instrumentation_fastapi-0.42b0-py3-none-any.whl", hash = "sha256:d53a26c4859767d5ba67109038cabc7165d97a8a8b7654ccde4ce290036d1725"},
-    {file = "opentelemetry_instrumentation_fastapi-0.42b0.tar.gz", hash = "sha256:7181d4886e57182e93477c4b797a7cd5467820b93c238eeb3e7d27a563c176e8"},
+    {file = "opentelemetry_instrumentation_fastapi-0.44b0-py3-none-any.whl", hash = "sha256:4441482944bea6676816668d56deb94af990e8c6e9582c581047e5d84c91d3c9"},
+    {file = "opentelemetry_instrumentation_fastapi-0.44b0.tar.gz", hash = "sha256:67ed10b93ad9d35238ae0be73cf8acbbb65a4a61fb7444d0aee5b0c492e294db"},
 ]
 
 [package.dependencies]
 opentelemetry-api = ">=1.12,<2.0"
-opentelemetry-instrumentation = "0.42b0"
-opentelemetry-instrumentation-asgi = "0.42b0"
-opentelemetry-semantic-conventions = "0.42b0"
-opentelemetry-util-http = "0.42b0"
+opentelemetry-instrumentation = "0.44b0"
+opentelemetry-instrumentation-asgi = "0.44b0"
+opentelemetry-semantic-conventions = "0.44b0"
+opentelemetry-util-http = "0.44b0"
 
 [package.extras]
 instruments = ["fastapi (>=0.58,<1.0)"]
-test = ["httpx (>=0.22,<1.0)", "opentelemetry-instrumentation-fastapi[instruments]", "opentelemetry-test-utils (==0.42b0)", "requests (>=2.23,<3.0)"]
+test = ["httpx (>=0.22,<1.0)", "opentelemetry-instrumentation-fastapi[instruments]", "opentelemetry-test-utils (==0.44b0)", "requests (>=2.23,<3.0)"]
 
 [[package]]
 name = "opentelemetry-proto"
-version = "1.21.0"
+version = "1.23.0"
 description = "OpenTelemetry Python Proto"
 optional = true
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_proto-1.21.0-py3-none-any.whl", hash = "sha256:32fc4248e83eebd80994e13963e683f25f3b443226336bb12b5b6d53638f50ba"},
-    {file = "opentelemetry_proto-1.21.0.tar.gz", hash = "sha256:7d5172c29ed1b525b5ecf4ebe758c7138a9224441b3cfe683d0a237c33b1941f"},
+    {file = "opentelemetry_proto-1.23.0-py3-none-any.whl", hash = "sha256:4c017deca052cb287a6003b7c989ed8b47af65baeb5d57ebf93dde0793f78509"},
+    {file = "opentelemetry_proto-1.23.0.tar.gz", hash = "sha256:e6aaf8b7ace8d021942d546161401b83eed90f9f2cc6f13275008cea730e4651"},
 ]
 
 [package.dependencies]
@@ -3399,40 +3566,40 @@ protobuf = ">=3.19,<5.0"
 
 [[package]]
 name = "opentelemetry-sdk"
-version = "1.21.0"
+version = "1.23.0"
 description = "OpenTelemetry Python SDK"
 optional = true
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_sdk-1.21.0-py3-none-any.whl", hash = "sha256:9fe633243a8c655fedace3a0b89ccdfc654c0290ea2d8e839bd5db3131186f73"},
-    {file = "opentelemetry_sdk-1.21.0.tar.gz", hash = "sha256:3ec8cd3020328d6bc5c9991ccaf9ae820ccb6395a5648d9a95d3ec88275b8879"},
+    {file = "opentelemetry_sdk-1.23.0-py3-none-any.whl", hash = "sha256:a93c96990ac0f07c6d679e2f1015864ff7a4f5587122dd5af968034436efb1fd"},
+    {file = "opentelemetry_sdk-1.23.0.tar.gz", hash = "sha256:9ddf60195837b59e72fd2033d6a47e2b59a0f74f0ec37d89387d89e3da8cab7f"},
 ]
 
 [package.dependencies]
-opentelemetry-api = "1.21.0"
-opentelemetry-semantic-conventions = "0.42b0"
+opentelemetry-api = "1.23.0"
+opentelemetry-semantic-conventions = "0.44b0"
 typing-extensions = ">=3.7.4"
 
 [[package]]
 name = "opentelemetry-semantic-conventions"
-version = "0.42b0"
+version = "0.44b0"
 description = "OpenTelemetry Semantic Conventions"
 optional = true
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_semantic_conventions-0.42b0-py3-none-any.whl", hash = "sha256:5cd719cbfec448af658860796c5d0fcea2fdf0945a2bed2363f42cb1ee39f526"},
-    {file = "opentelemetry_semantic_conventions-0.42b0.tar.gz", hash = "sha256:44ae67a0a3252a05072877857e5cc1242c98d4cf12870159f1a94bec800d38ec"},
+    {file = "opentelemetry_semantic_conventions-0.44b0-py3-none-any.whl", hash = "sha256:7c434546c9cbd797ab980cc88bf9ff3f4a5a28f941117cad21694e43d5d92019"},
+    {file = "opentelemetry_semantic_conventions-0.44b0.tar.gz", hash = "sha256:2e997cb28cd4ca81a25a9a43365f593d0c2b76be0685015349a89abdf1aa4ffa"},
 ]
 
 [[package]]
 name = "opentelemetry-util-http"
-version = "0.42b0"
+version = "0.44b0"
 description = "Web util for OpenTelemetry"
 optional = true
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_util_http-0.42b0-py3-none-any.whl", hash = "sha256:764069ed2f7e9a98ed1a7a87111f838000484e388e81f467405933be4b0306c6"},
-    {file = "opentelemetry_util_http-0.42b0.tar.gz", hash = "sha256:665e7d372837811aa08cbb9102d4da862441d1c9b1795d649ef08386c8a3cbbd"},
+    {file = "opentelemetry_util_http-0.44b0-py3-none-any.whl", hash = "sha256:ff018ab6a2fa349537ff21adcef99a294248b599be53843c44f367aef6bccea5"},
+    {file = "opentelemetry_util_http-0.44b0.tar.gz", hash = "sha256:75896dffcbbeb5df5429ad4526e22307fc041a27114e0c5bfd90bb219381e68f"},
 ]
 
 [[package]]
@@ -3496,89 +3663,94 @@ files = [
 
 [[package]]
 name = "overrides"
-version = "7.4.0"
+version = "7.7.0"
 description = "A decorator to automatically detect mismatch when overriding a method."
 optional = true
 python-versions = ">=3.6"
 files = [
-    {file = "overrides-7.4.0-py3-none-any.whl", hash = "sha256:3ad24583f86d6d7a49049695efe9933e67ba62f0c7625d53c59fa832ce4b8b7d"},
-    {file = "overrides-7.4.0.tar.gz", hash = "sha256:9502a3cca51f4fac40b5feca985b6703a5c1f6ad815588a7ca9e285b9dca6757"},
+    {file = "overrides-7.7.0-py3-none-any.whl", hash = "sha256:c7ed9d062f78b8e4c1a7b70bd8796b35ead4d9f510227ef9c5dc7626c60d7e49"},
+    {file = "overrides-7.7.0.tar.gz", hash = "sha256:55158fa3d93b98cc75299b1e67078ad9003ca27945c76162c1c0766d6f91820a"},
 ]
 
 [[package]]
 name = "packaging"
-version = "23.2"
+version = "24.0"
 description = "Core utilities for Python packages"
 optional = false
 python-versions = ">=3.7"
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@@ -3606,95 +3778,113 @@ numpy = "*"
 
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+mic = ["olefile"]
 tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
+typing = ["typing-extensions"]
+xmp = ["defusedxml"]
 
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 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
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 python-versions = ">=3.8"
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+test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)"]
 
 [[package]]
 name = "pluggy"
-version = "1.3.0"
+version = "1.4.0"
 description = "plugin and hook calling mechanisms for python"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
@@ -3722,13 +3912,13 @@ tests = ["pytest (>=5.4.1)", "pytest-cov (>=2.8.1)", "pytest-mypy (>=0.8.0)", "p
 
 [[package]]
 name = "posthog"
-version = "3.1.0"
+version = "3.5.0"
 description = "Integrate PostHog into any python application."
 optional = true
 python-versions = "*"
 files = [
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 ]
 
 [package.dependencies]
@@ -3763,24 +3953,52 @@ virtualenv = ">=20.10.0"
 
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+version = "4.25.3"
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 ]
 
+[[package]]
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+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
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+test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"]
+
 [[package]]
 name = "psycopg2-binary"
 version = "2.9.9"
@@ -3864,50 +4082,109 @@ files = [
 
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 description = "Apache Pulsar Python client library"
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 python-versions = "*"
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 ]
 
 [package.dependencies]
@@ -4083,36 +4334,40 @@ typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
 
 [[package]]
 name = "pydantic-extra-types"
-version = "2.2.0"
+version = "2.6.0"
 description = "Extra Pydantic types."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
-pydantic = ">=2.0.3"
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 [package.extras]
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 [[package]]
 name = "pydantic-settings"
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 description = "Settings management using Pydantic"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
 pydantic = ">=2.3.0"
 python-dotenv = ">=0.21.0"
 
+[package.extras]
+toml = ["tomli (>=2.0.1)"]
+yaml = ["pyyaml (>=6.0.1)"]
+
 [[package]]
 name = "pydub"
 version = "0.25.1"
@@ -4161,42 +4416,42 @@ tests = ["coverage[toml] (==5.0.4)", "pytest (>=6.0.0,<7.0.0)"]
 
 [[package]]
 name = "pymupdf"
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 description = "A high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents."
 optional = false
 python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
@@ -4219,13 +4474,13 @@ files = [
 
 [[package]]
 name = "pyparsing"
-version = "3.1.1"
+version = "3.1.2"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
 optional = true
 python-versions = ">=3.6.8"
 files = [
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 ]
 
 [package.extras]
@@ -4233,13 +4488,13 @@ diagrams = ["jinja2", "railroad-diagrams"]
 
 [[package]]
 name = "pypdf"
-version = "4.0.2"
+version = "4.1.0"
 description = "A pure-python PDF library capable of splitting, merging, cropping, and transforming PDF files"
 optional = false
 python-versions = ">=3.6"
 files = [
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 ]
 
 [package.extras]
@@ -4283,13 +4538,13 @@ files = [
 
 [[package]]
 name = "pytest"
-version = "7.4.3"
+version = "7.4.4"
 description = "pytest: simple powerful testing with Python"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -4339,13 +4594,13 @@ testing = ["fields", "hunter", "process-tests", "pytest-xdist", "six", "virtuale
 
 [[package]]
 name = "python-dateutil"
-version = "2.8.2"
+version = "2.9.0.post0"
 description = "Extensions to the standard Python datetime module"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -4353,13 +4608,13 @@ six = ">=1.5"
 
 [[package]]
 name = "python-dotenv"
-version = "1.0.0"
+version = "1.0.1"
 description = "Read key-value pairs from a .env file and set them as environment variables"
 optional = false
 python-versions = ">=3.8"
 files = [
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@@ -4381,13 +4636,13 @@ dev = ["atomicwrites (==1.4.1)", "attrs (==23.2.0)", "coverage (==7.4.1)", "hatc
 
 [[package]]
 name = "pytz"
-version = "2023.3.post1"
+version = "2024.1"
 description = "World timezone definitions, modern and historical"
 optional = false
 python-versions = "*"
 files = [
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@@ -4475,13 +4729,13 @@ files = [
 
 [[package]]
 name = "qdrant-client"
-version = "1.7.3"
+version = "1.8.0"
 description = "Client library for the Qdrant vector search engine"
 optional = true
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -4494,17 +4748,17 @@ pydantic = ">=1.10.8"
 urllib3 = ">=1.26.14,<3"
 
 [package.extras]
-fastembed = ["fastembed (==0.1.1)"]
+fastembed = ["fastembed (==0.2.2)"]
 
 [[package]]
 name = "referencing"
-version = "0.32.0"
+version = "0.33.0"
 description = "JSON Referencing + Python"
 optional = true
 python-versions = ">=3.8"
 files = [
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+    {file = "referencing-0.33.0.tar.gz", hash = "sha256:c775fedf74bc0f9189c2a3be1c12fd03e8c23f4d371dce795df44e06c5b412f7"},
 ]
 
 [package.dependencies]
@@ -4513,99 +4767,104 @@ rpds-py = ">=0.7.0"
 
 [[package]]
 name = "regex"
-version = "2023.10.3"
+version = "2023.12.25"
 description = "Alternative regular expression module, to replace re."
 optional = false
 python-versions = ">=3.7"
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 [[package]]
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+
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 doc = ["Sphinx", "sphinx-rtd-theme"]
 
+[[package]]
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+python-versions = ">=3.8.0"
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 [package.extras]
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 version = "1.12"
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 [package.extras]
 doc = ["reno", "sphinx", "tornado (>=4.5)"]
 
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 ]
 
 [package.dependencies]
@@ -5348,42 +5747,47 @@ files = [
 
 [[package]]
 name = "toolz"
-version = "0.12.0"
+version = "0.12.1"
 description = "List processing tools and functional utilities"
 optional = true
-python-versions = ">=3.5"
+python-versions = ">=3.7"
 files = [
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 ]
 
 [[package]]
 name = "torch"
-version = "2.1.2"
+version = "2.2.1"
 description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
 optional = true
 python-versions = ">=3.8.0"
 files = [
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 ]
 
 [package.dependencies]
@@ -5400,25 +5804,25 @@ nvidia-cufft-cu12 = {version = "11.0.2.54", markers = "platform_system == \"Linu
 nvidia-curand-cu12 = {version = "10.3.2.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-cusolver-cu12 = {version = "11.4.5.107", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-cusparse-cu12 = {version = "12.1.0.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-nccl-cu12 = {version = "2.18.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-nccl-cu12 = {version = "2.19.3", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-nvtx-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 sympy = "*"
-triton = {version = "2.1.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-typing-extensions = "*"
+triton = {version = "2.2.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.12\""}
+typing-extensions = ">=4.8.0"
 
 [package.extras]
-dynamo = ["jinja2"]
 opt-einsum = ["opt-einsum (>=3.3)"]
+optree = ["optree (>=0.9.1)"]
 
 [[package]]
 name = "tqdm"
-version = "4.66.1"
+version = "4.66.2"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "tqdm-4.66.2-py3-none-any.whl", hash = "sha256:1ee4f8a893eb9bef51c6e35730cebf234d5d0b6bd112b0271e10ed7c24a02bd9"},
+    {file = "tqdm-4.66.2.tar.gz", hash = "sha256:6cd52cdf0fef0e0f543299cfc96fec90d7b8a7e88745f411ec33eb44d5ed3531"},
 ]
 
 [package.dependencies]
@@ -5500,28 +5904,26 @@ vision = ["Pillow (>=10.0.1,<=15.0)"]
 
 [[package]]
 name = "triton"
-version = "2.1.0"
+version = "2.2.0"
 description = "A language and compiler for custom Deep Learning operations"
 optional = true
 python-versions = "*"
 files = [
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-tests = ["autopep8", "flake8", "isort", "numpy", "pytest", "scipy (>=1.7.1)"]
-tutorials = ["matplotlib", "pandas", "tabulate"]
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+tutorials = ["matplotlib", "pandas", "tabulate", "torch"]
 
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@@ -5549,24 +5951,24 @@ test = ["black (>=22.3.0,<23.0.0)", "coverage (>=6.2,<7.0)", "isort (>=5.0.6,<6.
 
 [[package]]
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 [[package]]
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 [[package]]
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 [[package]]
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 python-versions = ">=3.8"
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 [[package]]
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+    {file = "xxhash-3.4.1.tar.gz", hash = "sha256:0379d6cf1ff987cd421609a264ce025e74f346e3e145dd106c0cc2e3ec3f99a9"},
+]
+
 [[package]]
 name = "yarl"
 version = "1.9.4"
@@ -6181,18 +6701,18 @@ multidict = ">=4.0"
 
 [[package]]
 name = "zipp"
-version = "3.17.0"
+version = "3.18.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "zipp-3.17.0-py3-none-any.whl", hash = "sha256:0e923e726174922dce09c53c59ad483ff7bbb8e572e00c7f7c46b88556409f31"},
-    {file = "zipp-3.17.0.tar.gz", hash = "sha256:84e64a1c28cf7e91ed2078bb8cc8c259cb19b76942096c8d7b84947690cabaf0"},
+    {file = "zipp-3.18.0-py3-none-any.whl", hash = "sha256:c1bb803ed69d2cce2373152797064f7e79bc43f0a3748eb494096a867e0ebf79"},
+    {file = "zipp-3.18.0.tar.gz", hash = "sha256:df8d042b02765029a09b157efd8e820451045890acc30f8e37dd2f94a060221f"},
 ]
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
 
 [extras]
 embeddings-azopenai = ["llama-index-embeddings-azure-openai"]
@@ -6206,6 +6726,7 @@ llms-ollama = ["llama-index-llms-ollama"]
 llms-openai = ["llama-index-llms-openai"]
 llms-openai-like = ["llama-index-llms-openai-like"]
 llms-sagemaker = ["boto3"]
+reranker-flagembedding = ["flagembedding"]
 storage-nodestore-postgres = ["asyncpg", "llama-index-storage-docstore-postgres", "llama-index-storage-index-store-postgres", "psycopg2-binary"]
 ui = ["gradio"]
 vector-stores-chroma = ["llama-index-vector-stores-chroma"]
@@ -6215,4 +6736,4 @@ vector-stores-qdrant = ["llama-index-vector-stores-qdrant"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.11,<3.12"
-content-hash = "3d5f21e5e41ea66d655891a6d9b01bcdd8348b275e27a54e90b65ac9d5719981"
+content-hash = "3dc63050ac91a37dbcc54101fd378be9ed1ef74538ddb48d16ec836e1cae48e1"
diff --git a/private_gpt/components/llm/prompt_helper.py b/private_gpt/components/llm/prompt_helper.py
index 985d217bd..1ab19a3f6 100644
--- a/private_gpt/components/llm/prompt_helper.py
+++ b/private_gpt/components/llm/prompt_helper.py
@@ -215,7 +215,7 @@ def _completion_to_prompt(self, completion: str) -> str:
 
 
 def get_prompt_style(
-    prompt_style: Literal["default", "llama2", "tag", "mistral", "chatml"] | None
+    prompt_style: Literal["default", "llama2", "tag", "mistral", "chatml"] | None,
 ) -> AbstractPromptStyle:
     """Get the prompt style to use from the given string.
 
diff --git a/private_gpt/components/reranker/__init__.py b/private_gpt/components/reranker/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/private_gpt/components/reranker/flagembedding_reranker.py b/private_gpt/components/reranker/flagembedding_reranker.py
new file mode 100644
index 000000000..e56888f72
--- /dev/null
+++ b/private_gpt/components/reranker/flagembedding_reranker.py
@@ -0,0 +1,65 @@
+import logging
+from typing import (  # noqa: UP035, we need to keep the consistence with llamaindex
+    List,
+    Tuple,
+)
+
+from FlagEmbedding import FlagReranker  # type: ignore
+from llama_index.core.bridge.pydantic import Field
+from llama_index.core.indices.postprocessor import BaseNodePostprocessor
+from llama_index.core.schema import NodeWithScore, QueryBundle
+
+logger = logging.getLogger(__name__)
+
+
+class FlagEmbeddingRerankerComponent(BaseNodePostprocessor):
+    """Reranker component.
+
+    - top_n: Top N nodes to return.
+    - cut_off: Cut off score for nodes.
+
+    If the number of nodes with score > cut_off is <= top_n, then return top_n nodes.
+    Otherwise, return all nodes with score > cut_off.
+    """
+
+    top_n: int = Field(10, description="Top N nodes to return.")
+    cut_off: float = Field(0.0, description="Cut off score for nodes.")
+    reranker: FlagReranker = Field(..., description="Flag Reranker model.")
+
+    @classmethod
+    def class_name(cls) -> str:
+        return "FlagEmbeddingReranker"
+
+    def _postprocess_nodes(
+        self,
+        nodes: List[NodeWithScore],  # noqa: UP006
+        query_bundle: QueryBundle | None = None,
+    ) -> List[NodeWithScore]:  # noqa: UP006
+        if query_bundle is None:
+            raise ValueError("Query bundle must be provided.")
+
+        logger.info("Postprocessing nodes with FlagEmbeddingReranker.")
+        logger.info(f"top_n: {self.top_n}, cut_off: {self.cut_off}")
+
+        query_str = query_bundle.query_str
+        sentence_pairs: List[Tuple[str, str]] = []  # noqa: UP006
+        for node in nodes:
+            content = node.get_content()
+            sentence_pairs.append((query_str, content))
+
+        scores = self.reranker.compute_score(sentence_pairs)
+        for i, node in enumerate(nodes):
+            node.score = scores[i]
+
+        # cut off nodes with low scores
+        res = [node for node in nodes if (node.score or 0.0) > self.cut_off]
+        if len(res) > self.top_n:
+            logger.info(
+                "Number of nodes with score > cut_off is > top_n, returning all nodes with score > cut_off."
+            )
+            return res
+
+        logger.info(
+            "Number of nodes with score > cut_off is <= top_n, returning top_n nodes."
+        )
+        return sorted(nodes, key=lambda x: x.score or 0.0, reverse=True)[: self.top_n]
diff --git a/private_gpt/components/reranker/reranker.py b/private_gpt/components/reranker/reranker.py
new file mode 100644
index 000000000..5468b9b8a
--- /dev/null
+++ b/private_gpt/components/reranker/reranker.py
@@ -0,0 +1,59 @@
+import logging
+
+from injector import inject, singleton
+
+from private_gpt.paths import models_path
+from private_gpt.settings.settings import Settings
+
+logger = logging.getLogger(__name__)
+
+
+@singleton
+class RerankerComponent:
+    """Reranker component.
+
+    - mode: Reranker mode.
+    - enabled: Reranker enabled.
+
+    """
+
+    @inject
+    def __init__(self, settings: Settings) -> None:
+        if settings.reranker.enabled is False:
+            raise ValueError("Reranker component is not enabled.")
+
+        match settings.reranker.mode:
+            case "flagembedding":
+                logger.info(
+                    "Initializing the reranker model in mode=%s", settings.reranker.mode
+                )
+
+                try:
+                    from FlagEmbedding import FlagReranker  # type: ignore
+
+                    from private_gpt.components.reranker.flagembedding_reranker import (
+                        FlagEmbeddingRerankerComponent,
+                    )
+                except ImportError as e:
+                    raise ImportError(
+                        "Local dependencies not found, install with `poetry install --extras reranker-flagembedding`"
+                    ) from e
+
+                path = models_path / "flagembedding_reranker"
+
+                if settings.flagembedding_reranker is None:
+                    raise ValueError("FlagEmbeddingReranker settings is not provided.")
+
+                top_n = settings.flagembedding_reranker.top_n
+                cut_off = settings.flagembedding_reranker.cut_off
+                flagReranker = FlagReranker(
+                    model_name_or_path=path,
+                )
+                self.nodePostPorcesser = FlagEmbeddingRerankerComponent(
+                    top_n=top_n, cut_off=cut_off, reranker=flagReranker
+                )
+
+            case _:
+                raise ValueError(
+                    "Reranker mode not supported, currently only support flagembedding."
+                )
diff --git a/private_gpt/launcher.py b/private_gpt/launcher.py
index 43bd803a5..cd626299e 100644
--- a/private_gpt/launcher.py
+++ b/private_gpt/launcher.py
@@ -21,7 +21,6 @@
 
 
 def create_app(root_injector: Injector) -> FastAPI:
-
     # Start the API
     async def bind_injector_to_request(request: Request) -> None:
         request.state.injector = root_injector
diff --git a/private_gpt/server/chat/chat_service.py b/private_gpt/server/chat/chat_service.py
index ea57f2c0d..da67dd335 100644
--- a/private_gpt/server/chat/chat_service.py
+++ b/private_gpt/server/chat/chat_service.py
@@ -1,3 +1,4 @@
+import typing
 from dataclasses import dataclass
 
 from injector import inject, singleton
@@ -18,6 +19,7 @@
 from private_gpt.components.embedding.embedding_component import EmbeddingComponent
 from private_gpt.components.llm.llm_component import LLMComponent
 from private_gpt.components.node_store.node_store_component import NodeStoreComponent
+from private_gpt.components.reranker.reranker import RerankerComponent
 from private_gpt.components.vector_store.vector_store_component import (
     VectorStoreComponent,
 )
@@ -25,6 +27,9 @@
 from private_gpt.server.chunks.chunks_service import Chunk
 from private_gpt.settings.settings import Settings
 
+if typing.TYPE_CHECKING:
+    from llama_index.core.indices.postprocessor import BaseNodePostprocessor
+
 
 class Completion(BaseModel):
     response: str
@@ -99,6 +104,8 @@ def __init__(
             embed_model=embedding_component.embedding_model,
             show_progress=True,
         )
+        if settings.reranker.enabled:
+            self.reranker_component = RerankerComponent(settings=settings)
 
     def _chat_engine(
         self,
@@ -113,16 +120,22 @@ def _chat_engine(
                 context_filter=context_filter,
                 similarity_top_k=self.settings.rag.similarity_top_k,
             )
+
+            node_postprocessors: list[BaseNodePostprocessor] = [
+                MetadataReplacementPostProcessor(target_metadata_key="window"),
+                SimilarityPostprocessor(
+                    similarity_cutoff=settings.rag.similarity_value
+                ),
+            ]
+
+            if self.reranker_component:
+                node_postprocessors.append(self.reranker_component.nodePostPorcesser)
+
             return ContextChatEngine.from_defaults(
                 system_prompt=system_prompt,
                 retriever=vector_index_retriever,
                 llm=self.llm_component.llm,  # Takes no effect at the moment
-                node_postprocessors=[
-                    MetadataReplacementPostProcessor(target_metadata_key="window"),
-                    SimilarityPostprocessor(
-                        similarity_cutoff=settings.rag.similarity_value
-                    ),
-                ],
+                node_postprocessors=node_postprocessors,
             )
         else:
             return SimpleChatEngine.from_defaults(
diff --git a/private_gpt/server/utils/auth.py b/private_gpt/server/utils/auth.py
index 2eb40fe56..3421d1a58 100644
--- a/private_gpt/server/utils/auth.py
+++ b/private_gpt/server/utils/auth.py
@@ -60,7 +60,7 @@ def authenticated() -> bool:
 
     # Method to be used as a dependency to check if the request is authenticated.
     def authenticated(
-        _simple_authentication: Annotated[bool, Depends(_simple_authentication)]
+        _simple_authentication: Annotated[bool, Depends(_simple_authentication)],
     ) -> bool:
         """Check if the request is authenticated."""
         assert settings().server.auth.enabled
diff --git a/private_gpt/settings/settings.py b/private_gpt/settings/settings.py
index 5896f00d6..bfea6ad00 100644
--- a/private_gpt/settings/settings.py
+++ b/private_gpt/settings/settings.py
@@ -114,6 +114,29 @@ class NodeStoreSettings(BaseModel):
     database: Literal["simple", "postgres"]
 
 
+class FlagEmbeddingReRankerSettings(BaseModel):
+    hf_model_name: str = Field(
+        "BAAI/bge-reranker-large",
+        description="Name of the HuggingFace model to use for reranking",
+    )
+    top_n: int = Field(
+        5,
+        description="Top N nodes to return.",
+    )
+    cut_off: float = Field(
+        0.75,
+        description="Cut off score for nodes.",
+    )
+
+
+class RerankerSettings(BaseModel):
+    enabled: bool = Field(
+        False,
+        description="Flag indicating if reranker is enabled or not",
+    )
+    mode: Literal["flagembedding"]
+
+
 class LlamaCPPSettings(BaseModel):
     llm_hf_repo_id: str
     llm_hf_model_file: str
@@ -391,6 +414,8 @@ class Settings(BaseModel):
     vectorstore: VectorstoreSettings
     nodestore: NodeStoreSettings
     rag: RagSettings
+    reranker: RerankerSettings
+    flagembedding_reranker: FlagEmbeddingReRankerSettings
     qdrant: QdrantSettings | None = None
     postgres: PostgresSettings | None = None
 
diff --git a/private_gpt/ui/ui.py b/private_gpt/ui/ui.py
index 7c34e8497..eef82ca91 100644
--- a/private_gpt/ui/ui.py
+++ b/private_gpt/ui/ui.py
@@ -145,7 +145,6 @@ def build_history() -> list[ChatMessage]:
             )
         match mode:
             case "Query Files":
-
                 # Use only the selected file for the query
                 context_filter = None
                 if self._selected_filename is not None:
diff --git a/pyproject.toml b/pyproject.toml
index d56899987..16fd0fbac 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -39,6 +39,7 @@ asyncpg = {version="^0.29.0", optional = true}
 boto3 = {version ="^1.34.51", optional = true}
 # Optional UI
 gradio = {version ="^4.19.2", optional = true}
+flagembedding = {version="^1.2.5", optional = true}
 
 [tool.poetry.extras]
 ui = ["gradio"]
@@ -57,6 +58,8 @@ vector-stores-qdrant = ["llama-index-vector-stores-qdrant"]
 vector-stores-chroma = ["llama-index-vector-stores-chroma"]
 vector-stores-postgres = ["llama-index-vector-stores-postgres"]
 storage-nodestore-postgres = ["llama-index-storage-docstore-postgres","llama-index-storage-index-store-postgres","psycopg2-binary","asyncpg"]
+reranker-flagembedding = ["flagembedding"]
+
 
 [tool.poetry.group.dev.dependencies]
 black = "^22"
diff --git a/scripts/setup b/scripts/setup
index edba10498..78a386af5 100755
--- a/scripts/setup
+++ b/scripts/setup
@@ -1,17 +1,17 @@
 #!/usr/bin/env python3
-import os
 import argparse
+import os
 
 from huggingface_hub import hf_hub_download, snapshot_download
 from transformers import AutoTokenizer
 
-from private_gpt.paths import models_path, models_cache_path
+from private_gpt.paths import models_cache_path, models_path
 from private_gpt.settings.settings import settings
 
 resume_download = True
-if __name__ == '__main__':
-    parser = argparse.ArgumentParser(prog='Setup: Download models from Hugging Face')
-    parser.add_argument('--resume', default=True, action=argparse.BooleanOptionalAction, help='Enable/Disable resume_download options to restart the download progress interrupted')
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser(prog="Setup: Download models from huggingface")
+    parser.add_argument("--resume", default=True, action=argparse.BooleanOptionalAction, help="Enable/Disable resume_download options to restart the download progress interrupted")
     args = parser.parse_args()
     resume_download = args.resume
 
@@ -27,6 +27,17 @@ snapshot_download(
 )
 print("Embedding model downloaded!")
 
+if settings().reranker.enabled and settings().reranker.mode == "flagembedding":
+    # Download Reranker model
+    reranker_path = models_path / "flagembedding_reranker"
+    print(f"Downloading reranker {settings().flagembedding_reranker.hf_model_name}")
+    snapshot_download(
+        repo_id=settings().flagembedding_reranker.hf_model_name,
+        cache_dir=models_cache_path,
+        local_dir=reranker_path,
+    )
+    print("Reranker model downloaded!")
+
 # Download LLM and create a symlink to the model file
 print(f"Downloading LLM {settings().llamacpp.llm_hf_model_file}")
 hf_hub_download(
diff --git a/settings-test.yaml b/settings-test.yaml
index b6ca869da..2269272dc 100644
--- a/settings-test.yaml
+++ b/settings-test.yaml
@@ -17,5 +17,8 @@ llm:
 embedding:
   mode: mock
 
+reranker:
+  enabled: false
+
 ui:
-  enabled: false
\ No newline at end of file
+  enabled: false
diff --git a/settings.yaml b/settings.yaml
index 87a63ef4f..e36ba11dd 100644
--- a/settings.yaml
+++ b/settings.yaml
@@ -57,6 +57,15 @@ llamacpp:
   top_p: 1.0            # Works together with top-k. A higher value (e.g., 0.95) will lead to more diverse text, while a lower value (e.g., 0.5) will generate more focused and conservative text. (Default: 0.9)
   repeat_penalty: 1.1   # Sets how strongly to penalize repetitions. A higher value (e.g., 1.5) will penalize repetitions more strongly, while a lower value (e.g., 0.9) will be more lenient. (Default: 1.1)
 
+reranker:
+  enabled: true
+  mode: flagembedding
+
+flagembedding_reranker:
+  hf_model_name: BAAI/bge-reranker-large
+  top_n: 5
+  cut_off: 0.75
+
 embedding:
   # Should be matching the value above in most cases
   mode: huggingface