Local-GenAI-Search is a generative search engine based on Llama 3, langchain and qdrant that answers questions based on your local files

Official Java client for Qdrant

Building a Chain of Thought RAG Model with DSPy, Qdrant and Ollama

This repository is a demonstration of deploying Qdrant, a high-performance vector database, in a distributed manner.

此存储库展示了用于检索增强生成（RAG）系统的各种先进技术。RAG 系统将信息检索与生成模型相结合，以提供准确且上下文丰富的响应。

All CPU efficient GPU-less Financial Analysis RAG Model with Qdrant, Langchain and GPT4All x Mistral-7B, run RAG without any GPU support!

VoicePassport 🎤is an innovative authentication system leveraging voice recognition technology, blockchain ⛓️ security, and vector databases 📊 for robust and seamless user verification.

Explore how to perform Role Based Access Control in Qdrant Vector Datase

QDrant Vector Database with Python Tutorials

Rust App on Qdrant - Vector database

This is a RAG (Retrieval-Augmented Generation) model that leverages Qdrant as a vector store and Google Gemini for intelligent document retrieval and context-aware response generation. It efficiently processes PDF documents to provide detailed answers to user queries based on the extracted context.

A Streamlit web app for efficient management of Qdrant vector databases. Features include collection creation/deletion, point retrieval/search, and vector data upload, simplifying Qdrant operations through an intuitive interface.

A Neural Search Tool that helps you find relevant papers to read based on your interests

LlamaIndex&LangChine wiht LLM

RAG powered AI chatbot for Indian Language (Hindi) using LangChain, Ollama, Qdrant, and MLFlow

Implemented vector embeddings on the dataset and store them in Qdrant a vector DB. Implemented LLM on the DB that can give contextual answers to the queries. Wraped this LLM as an API using FastAPI and streamlit frontend

This repository holds a query engine LLM based on the vector DB of BigBasket products list

We are going to showcase how to build a superhero character AI - where users can chat with their favourite superheroes.

News Observatory

Tutorials and references to get started with Qdrant vector databases