Repository Index

RAGFlow is an agent-native database: a Retrieval-Augmented Generation (RAG) engine that grew into context infrastructure.

• ai
• ai-agents
• rag
• retrieval-augmented-generation

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

• pathway
• vector-database
• retrieval-augmented-generation
• rag

[EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation

• knowledge-graph
• large-language-models
• retrieval-augmented-generation
• genai

📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG

• agentic-ai
• agents
• ai
• ai-agents

TranslatedLangchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain

• chatglm
• langchain
• llm
• knowledge-base

A modular graph-based Retrieval-Augmented Generation (RAG) system

• graphrag
• rag
• llm
• llms

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

• semantic-search
• information-retrieval
• ai
• python

"RAG-Anything: All-in-One RAG Framework"

• multi-modal-rag
• retrieval-augmented-generation

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

• parsing
• retrieval-augmented-generation
• agents
• generative-ai-tools

[MLsys2026 Best Paper]: https://arxiv.org/abs/2506.08276. RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.

• ai
• faiss
• langchain
• llama-index

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

• python
• search
• nlp
• semantic-search

Retrieval and Retrieval-augmented LLMs

• embeddings
• information-retrieval
• llm
• sentence-embeddings

WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.

• rag
• ai-agents
• alignment
• debugging

A code repository indexing tool to supercharge your LLM experience.

• neovim-plugin
• retrieval-augmented
• embeddings
• rag

Ontology-Augmented Generation for AI agents.

• agent-skills
• document-parsing
• knowledge-graph
• mineru

LLM and agent evaluation for Java & Kotlin. Runs in JUnit and CI. Spring AI, LangChain4j, Koog, Embabel, and any LLM client.

• agent-evaluation
• evaluation-framework
• evaluation-metrics
• java