AdalFlow: The library to build & auto-optimize LLM applications.

An easy-to-use python toolkit for flexibly adapting various neural ranking models to any target domain.

An OpenAI Compatible API which integrates LLM, Embedding and Reranker. 一个集成 LLM、Embedding 和 Reranker 的 OpenAI 兼容 API

Reranker API

Retrieval-Augmented Generation without Vector-DB

This is RAG Modules Repo. This includes various modules in the RAG ecosystem.

Multi-Objective Recommender System

🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with PostgreSQL or SQLite

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.

AICUP 2024 Esan LLM RAG QA