Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain

RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

🔍 AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.

💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

"LightRAG: Simple and Fast Retrieval-Augmented Generation"

Retrieval and Retrieval-augmented LLMs

Unified framework for building enterprise RAG pipelines with small, specialized models

The open source platform for AI-native application development.

Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.

The all-in-one solution for RAG. Build, scale, and deploy state of the art Retrieval-Augmented Generation applications

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

Harness LLMs with Multi-Agent Programming

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

🧑‍🚀 全世界最好的LLM资料总结 | Summary of the world's best LLM resources.

Distributed vector search for AI-native applications

永久免费开源的 AIGC 课程, 目前已支持Prompt Engineering, ChatGPT, Midjourney, Runway, Stable Diffusion, AI数字人，AI声音&音乐，开源大模型

SWIRL AI Connect: AI infrastructure software that powers your Search & Retrieval Augmented Generation (RAG) applications. Simplify and enhance your AI pipelines with seamless integration of large language models (LLMs) and data sources.

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

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