RAG & Wissen
compdfkit-conversion-sdk-mac
High-performance PDF conversion library for macOS apps.
★ 115 SterneApache-2.0
Anleitung ansehen →docs-mcp ist ein Open-Source-Projekt aus der Kategorie RAG & Wissen von cometchat (cometchat/docs-mcp auf GitHub). Es hat 97 Sterne auf GitHub und 4 Forks, wird unter der Lizenz Apache-2.0 veröffentlicht und wurde zuletzt am 22. September 2026 auf GitHub aktualisiert.
Self-hosted rag & knowledge: cometchat docs search + implementation bundles: add cha.
Fetch the source code onto your machine.
Pull in the Node packages the app needs.
Copy the sample config or env file and adjust it.
Start the development or production server.
Built around ai agents for a focused workflow.
Built around ai coding assistant for a focused workflow.
Built around android for a focused workflow.
Built around chat for a focused workflow.
Inspect, fork, and modify every line of the code.
Run it on your own machine — no account lock-in.
Get the source on your machine.
git clone https://github.com/cometchat/docs-mcp.gitInstall Node dependencies.
cd docs-mcp && npm installRun the application.
cd docs-mcp && npm startIt cometChat docs search + implementation bundles: add chat, voice, video & moderation to your app through your AI coding agent, giving you a working starting point you can run and adapt.
Yes — the code is open-source, so you can use and modify it without a license fee.
Clone the GitHub repository and follow the README; the typical flow is install dependencies, configure, and run.
It is primarily written in TypeScript, so you will need that toolchain to build or extend it.
The GitHub repository is the hub: open issues for bugs and check the README and discussions for guidance.
High-performance PDF conversion library for macOS apps.
280+ free n8n automation templates — ready-to-use workflows for Gmail, Telegram, Slack, Discord, WhatsApp, Google Drive, Notion, OpenAI, and more. AI agents,…
Extract any site's design language into reusable rules for AI coders
Self-hosted rag & knowledge: 🧠 the brain for your ai — local-first memory engine for.
Self-hosted RAG search across GitHub, Drive, Notion, and local files.
Self-hosted rag & knowledge: turn your own pdf textbooks into an ai-searchable knowl.
Die anderen Projekte der Kategorie RAG & Wissen mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls docs-mcp nicht das Richtige ist.
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or…
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context…
Lightweight OCR toolkit turning PDFs and images into structured, LLM-ready data in 100+ languages
MinerU — turns PDFs and Office documents into LLM-ready Markdown and JSON for agents and RAG pipelines, Apache-2.0 plus terms
Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience
Verwandte Projekte der Kategorie RAG & Wissen im Katalog, die docs-mcp bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
Rag.computer — self-hostable rag platform - document ingestion, embedd, open-source.
AST-powered code intelligence engine — graph database plus hybrid semantic search across 62 languages, zero LLM dependency.
Open rag & knowledge for "autonomie" is a highly semantic, responsive, accessibl.
Codealive-mcp, in Python — built for context engine for large codebases, exposed throug...
Self-hosted rag & knowledge: turn your own pdf textbooks into an ai-searchable knowl.
AI agent operating system for Blender 5.2 — bpy knowledge base, execution contract, 3D-print production gate.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.