RAG & Wissen
OpenKB
OpenKB compiles your documents into a persistent, interlinked wiki knowledge base — no vector DB
★ 4,8 Tsd. SterneApache-2.0
Anleitung ansehen →FastGPT ist ein Open-Source-Projekt aus der Kategorie RAG & Wissen von labring (labring/FastGPT auf GitHub). Es hat 29.789 Sterne auf GitHub und 7.327 Forks, wird unter der Lizenz NOASSERTION veröffentlicht und wurde zuletzt am 8. Oktober 2026 auf GitHub aktualisiert.
A knowledge-base platform with visual AI workflows — build Q&A systems on your own documents
Decide what you want to achieve with FastGPT and check the README on GitHub for requirements before installing.
Clone the repository from GitHub (or take the packaged install route in step 3 if the README offers one).
Follow the project's documented install commands — the Run section below lists the exact ones — and add any required API keys or models.
Work through the README's quickstart example end to end, then adapt it to your own project or data.
Import documents, let FastGPT process and index them, and answer questions from your data.
Build complex Q&A and agent flows by dragging nodes instead of writing code.
Built-in handling for cleaning and chunking imported knowledge.
Works with OpenAI, Claude, DeepSeek, Qwen and other LLM providers.
Can call tools through the Model Context Protocol from within workflows.
An official install script pulls the deployment config and starts the full stack with Docker Compose.
Get the FastGPT source if you plan to develop it; deployment uses the official install script below.
git clone https://github.com/labring/FastGPT.git
cd FastGPTRun the official install script to fetch the deployment configuration.
bash <(curl -fsSL https://doc.fastgpt.io/deploy/install.sh)Bring the services up with Docker Compose, then open the web app (the README notes default account root / 1234 — change it immediately).
docker compose up -d
# open http://localhost:3000 and change the default passwordFastGPT is maintained by the labring organization/account on GitHub, together with open-source contributors, in the public repository labring/FastGPT.
Yes — the code is open source under the NOASSERTION license. Check the repository's LICENSE file for the exact terms before commercial use.
FastGPT is open source, but answering questions needs an LLM — you supply your own provider API key (OpenAI, DeepSeek, Qwen and others are supported).
All three offer visual LLM app building; FastGPT's center of gravity is knowledge-base Q&A with strong RAG tooling and a large Chinese community.
Clone the repository from GitHub, follow the install commands in the Run section (taken from the project's README), and complete the documented quickstart example before adapting it to your own use case.
OpenKB compiles your documents into a persistent, interlinked wiki knowledge base — no vector DB
Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.
Build a ChatGPT over your own data using natural language and LlamaIndex.
Utopia — an open-source enterprise world model: a bitemporal knowledge substrate that learns from your documents and gives agents a governed, auditable memory
A private AI platform for agents, assistants and enterprise search over your documents
Internal Q&A and knowledge base for Backstage.
Die anderen Projekte der Kategorie RAG & Wissen mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls FastGPT 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 FastGPT bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.
Turn PDFs into AI-ready data: extract Markdown, JSON and tables — and auto-tag for accessibility
Microsoft's graph-based RAG: index a corpus into a knowledge graph, then query it with an LLM
Vector similarity search inside Postgres - store embeddings next to your data
Local knowledge-base RAG and agent app built on LangChain with ChatGLM, Qwen and Llama models
An agentic AI data assistant - chat with your databases, run SQL and code, get reports
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.