
vllm
vllm-project/vllmA high-throughput and memory-efficient inference and serving engine for LLMs

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OpenBMB/UltraRAG
A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines
Topics
Don’t install what you can’t explain. Each of these free tools reads OpenBMB/UltraRAG when you swap github.com in its link for another address.
An interactive diagram of how the parts fit together. Generated by AI.
A written guide to the codebase, with a chat you can ask questions. Generated by AI.
Opens the code in VS Code in your browser. Needs a GitHub sign-in. Same as pressing . on any GitHub repo.
The whole project as a single text file to paste into Claude or another assistant. Large repos may not fit in one chat.
Or build it on your computer
npx techandria digest OpenBMB/UltraRAGBuilt from the current code, which Techandria hasn’t reviewed. The file says so at the top. Add --only src for part of a large repo.
A remote MCP server your agent can connect to and read the docs and code live while it works.
Add it to Claude Code
claude mcp add --transport http ultrarag-docs https://gitmcp.io/OpenBMB/UltraRAGThe linked sites are independent services, not part of Techandria. They read the default branch as it is now, not the reviewed commit, and AI-written explanations can be wrong. Repository text you paste into an assistant can contain instructions aimed at it, so treat it as data. None of this is a security review.
Not available through Techandria. A library has no Techandria install path. Running an arbitrary program is a different risk from adding a reviewed skill.
You can still get the code from the source and read it yourself:
git clone https://github.com/OpenBMB/UltraRAGDiscovery metadata only. Nothing has been scanned or approved, so this is a listing — not a recommendation to run the code.
The badge shows this project's current review state and updates on its own — including if the state changes. It links back to this page.
[](https://techandria.com/project/OpenBMB/UltraRAG)No README could be fetched from GitHub for this repository.

A high-throughput and memory-efficient inference and serving engine for LLMs

FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, letting you easily develop and deploy complex question-answering systems without the need for extensive setup or configuration.

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

Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more.