RAG Libraries

Open-source context retrieval layer for AI agents

The open source platform for AI-native application development.

AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation

Everything you need to know to build your own RAG application

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

Harness LLMs with Multi-Agent Programming

A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.

⚡FlashRAG: A Python Toolkit for Efficient RAG Research (WWW2025 Resource)

[KDD'2026] "VideoRAG: Chat with Your Videos"

Fast, Accurate, Lightweight Python library to make State of the Art Embedding

AI Search & RAG Without Moving Your Data. Get instant answers from your company's knowledge across 100+ apps while keeping data secure. Deploy in minutes, not months.

All-in-one platform for search, recommendations, RAG, and analytics offered via API