aws-samples/serverless-rag-demo

The easiest way to use Agentic RAG in any enterprise

An open source, modular, lightweight, and extensible RAG application stack, designed for anyone and everyone.

A no-code RAG server that keeps answers in sync with your documents. Works with 8 vector databases. Built on Pathway.

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

Retrieval Augmented Generation (RAG) framework and context engine powered by Pinecone

RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry

The open-source RAG platform: built-in citations, deep research, 22+ file formats, partitions, MCP server, and more.

ApeRAG: Production-ready GraphRAG with multi-modal indexing, AI agents, MCP support, and scalable K8s deployment

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