AdalFlow: The library to build & auto-optimize any LLM task.
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Updated
Oct 6, 2024 - Python
AdalFlow: The library to build & auto-optimize any LLM task.
An easy-to-use python toolkit for flexibly adapting various neural ranking models to any target domain.
Testing speed and accuracy of RAG with, and without Cross Encoder Reranker.
A chatbot built on Ktor using GPT + Embeddings to answer questions
This is RAG Modules Repo. This includes various modules in the RAG ecosystem.
A small reranker service using mixedbread.ai reranker model
The method of re-ranking involves a two-stage retrieval system, with re-rankers playing a crucial role in evaluating the relevance of each document to the query. RAG systems can be optimized to mitigate hallucinations and ensure dependable search outcomes by selecting the optimal reranking model.
Discriminative Reranker in Java
Multi-Objective Recommender System
🥤 RAGLite is a Python package for Retrieval-Augmented Generation (RAG) with PostgreSQL or SQLite
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