reranker

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

Rust library for generating vector embeddings, reranking. Re-write of qdrant/fastembed.

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

Testing speed and accuracy of RAG with, and without Cross Encoder Reranker.

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

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

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

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

SearchAugmentedLLM empowers LLMs with information from the web

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

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.

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

FastAPI Local RAG Q&A Demo

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.

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

Multi-Objective Recommender System

Retrieval-Augmented Generation without Vector-DB

AICUP 2024 Esan LLM RAG QA

YouTube RAG Research Agent