知识库问答

把企业自己的文档、数据接进大模型,让它基于你的资料回答问题

数据截至 8/1 18:48(构建快照,正在获取最新)

仍在维护排序:先筛掉近 30 天没有提交的项目,再按热度排。 高 star 但早已停更的项目不会出现在这里。

  1. 1
    difyGitHub知识库问答

    Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.

    151.0kstar今天有提交TypeScript
  2. 2
    open-webuiGitHub知识库问答

    User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

    147.5kstar今天有提交Python
  3. 3
    awesome-llm-appsGitHub知识库问答Apache-2.0

    100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.

    129.5kstar1 天前提交Python
  4. 4
    graphifyGitHub知识库问答Apache-2.0

    Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.

    99.9kstar今天有提交Python
  5. 5
    claude-memGitHub知识库问答Apache-2.0

    Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More

    89.2kstar今天有提交JavaScript
  6. 6
    PaddleOCRGitHub知识库问答Apache-2.0

    Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.

    86.7kstar9 天前提交Python
  7. 7
    ragflowGitHub知识库问答Apache-2.0

    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

    86.6kstar今天有提交Go
  8. 8
    Understand-AnythingGitHub知识库问答MIT

    Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.

    77.0kstar2 天前提交TypeScript
  9. 9
    redisGitHub知识库问答

    For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.

    75.8kstar今天有提交C
  10. 10
    hello-agentsGitHub知识库问答

    📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程

    69.9kstar1 天前提交Python
  11. 11
    anything-llmGitHub知识库问答MIT

    Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience

    64.2kstar1 天前提交JavaScript
  12. 12
    headroomGitHub知识库问答Apache-2.0

    Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.

    63.7kstar今天有提交Python
  13. 13
    llm-appGitHub知识库问答MIT

    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.

    58.9kstar26 天前提交Jupyter Notebook
  14. 14
    meilisearchGitHub知识库问答

    A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.

    58.8kstar1 天前提交Rust
  15. 15
    llama_indexGitHub知识库问答MIT

    LlamaIndex is the leading document agent and OCR platform

    51.3kstar今天有提交Python
  16. 16
    JeecgBootGitHub知识库问答Apache-2.0

    【低代码迈入v2.0时代,一句话即可生成整个系统】企业级AI低代码平台,一键生成前后端代码甚至整个系统。 AI Skills 一句话画流程、设计表单、生成报表、大屏。内置 AI应用平台涵盖:AI聊天、知识库、流程编排、MCP插件等,兼容主流大模型。引领AI低代码「Skills 生成 → 在线配置 → 代码生成 → 手工合并->AI修改」开发模式,解决 Java 项目 90% 重复工作,提高效率又不失灵活。

    47.2kstar2 天前提交Java
  17. 17
    siyuanGitHub知识库问答AGPL-3.0

    A privacy-first, self-hosted, fully open source personal knowledge management software, written in typescript and golang.

    45.6kstar今天有提交TypeScript
  18. 18
    milvusGitHub知识库问答Apache-2.0

    Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

    45.4kstar今天有提交Go
  19. 19
    logseqGitHub知识库问答AGPL-3.0

    A privacy-first, open-source platform for knowledge management and collaboration. Download link: http://github.com/logseq/logseq/releases. roadmap: https://logseq.io/p/NX4mc_ggEV

    44.2kstar今天有提交Clojure
  20. 20
    LightRAGGitHub知识库问答MIT

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

    38.4kstar今天有提交Python
  21. 21
    TriliumGitHub知识库问答AGPL-3.0

    Build your personal knowledge base with Trilium Notes

    37.2kstar今天有提交TypeScript
  22. 22
    ai-engineering-hubGitHub知识库问答MIT

    In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

    36.8kstar4 天前提交Jupyter Notebook
  23. 23
    graphragGitHub知识库问答MIT

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

    35.1kstar6 天前提交Python
  24. 24
    PageIndexGitHub知识库问答MIT

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

    34.9kstar今天有提交Python
  25. 25
    qdrantGitHub知识库问答Apache-2.0

    Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

    33.7kstar今天有提交Rust
  26. 26
    DeepTutorGitHub知识库问答Apache-2.0

    DeepTutor: Lifelong Personalized Tutoring. https://deeptutor.info/.

    31.7kstar1 天前提交Python
  27. 27
    onyxGitHub知识库问答

    Open Source AI Platform - AI Chat with advanced features that works with every LLM

    31.4kstar今天有提交Python
  28. 28
    cogneeGitHub知识库问答Apache-2.0

    Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.

    29.6kstar今天有提交Python
  29. 29
    graphitiGitHub知识库问答Apache-2.0

    Build Real-Time Knowledge Graphs for AI Agents

    29.4kstar1 天前提交Python
  30. 30
    simGitHub知识库问答Apache-2.0

    Build, deploy, and orchestrate AI agents. Sim is the central intelligence layer for your AI workforce.

    29.3kstar今天有提交TypeScript

另有 42 个项目因近期无提交或缺少数据未列入。

知识库问答要落到业务里,还差什么?

开源项目给的是能力,不是方案。数据怎么接、权限怎么管、上线后谁维护,这些才是落地的真正成本。