RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
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Updated
Feb 17, 2025 - Python
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
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
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
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.
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.
"LightRAG: Simple and Fast Retrieval-Augmented Generation"
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
Unified framework for building enterprise RAG pipelines with small, specialized models
Retrieval and Retrieval-augmented LLMs
The open source platform for AI-native application development.
The most advanced AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
🧑🚀 全世界最好的LLM资料总结(数据处理、模型训练、模型部署、o1 模型、小语言模型、视觉语言模型) | Summary of the world's best LLM resources.
Harness LLMs with Multi-Agent Programming
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
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.
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
NestJS Helper + AI Chatbot Development
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