“retrieval-augmented-generation”

RAGFlow: A powerful Retrieval-Augmented Generation with enhanced Agent capabilities in Go

Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data.

Langchain-Chatchat is a local knowledge-based RAG and Agent application for LLMs like ChatGLM, Qwen and Llama.

LightRAG: Simple and Fast Retrieval-Augmented Generation

Vectorizer AI's Document Indexing Tool using Reasoning

LLM-powered knowledge curation and report generation

Repository showcasing advanced techniques for Retrieval-Augmented Generation (RAG) systems.

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications.

Memory layer for AI Agents

All-in-one AI framework for semantic search, LLM orchestration and language model workflows

RAG on Everything with LEANN

Agent S: Use Computer Like a Human

Pocket Flow: A minimalist, 100-line LLM framework for building and orchestrating AI agents.

Summary of the world's best LLM resources.

SoTA production-ready AI retrieval system.

Open-source context retrieval layer for AI agents

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

FlashRAG: A Python Toolkit for Efficient RAG Research

Distributed vector search for AI-native applications

RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval

Smyth Runtime Environment (SRE) is an open-source runtime and SDK for production AI agents.

Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies.

Ultra-lite & Super-fast Python library for re-ranking search results.

End-to-end notebooks for using Weaviate features and integrations

⚕️GenAI powered multi-agentic medical diagnostics and healthcare research assistance chatbot.

Fast, streaming indexing, query, and agentic LLM applications in Rust

Data-Driven Evaluation for LLM-Powered Applications