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

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

Rust library for generating vector embeddings, reranking locally

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 library integrating embedding and reranker models from OpenAI, SentenceTransformers etc for semantic search in vector database.

1st Place Solution for Eedi - Mining Misconceptions in Mathematics Kaggle Competition

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

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

A small reranker service using mixedbread.ai reranker model

A comprehensive RAG FastAPI service that handles document uploads and retrievals, built with Python. Uses PyMuPDF for document processing, turbopuffer for vector storage, OpenAI for models, and cohere for reranking.

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.

Multi-Objective Recommender System

Free Web Search API, Free Rerank API, The World Engine For AGI.

Given user submitted bio, returns top 500 stories from Hacker News front page , ranked in the order of relevancy to user's interests.

This repository hosts the code to launch a streamlit Q&A app that locally uses LLMs in a RAG-Reranker workflow

Retrieval-Augmented Generation without Vector-DB

A Python cli-command tool for creating reports for any Google query.

SearchAugmentedLLM empowers LLMs with information from the web

A chatbot built on Ktor using GPT + Embeddings to answer questions