RAG & Knowledge
OpenKB
OpenKB compiles your documents into a persistent, interlinked wiki knowledge base — no vector DB
★ 4.8k starsApache-2.0
View guide →A knowledge-base platform with visual AI workflows — build Q&A systems on your own documents
FastGPT is an open-source rag & knowledge project by labring (labring/FastGPT on GitHub). It has 29,789 GitHub stars and 7,327 forks, is released under the NOASSERTION license, and was last updated on GitHub on 8 October 2026.
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
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