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UltraRAG

A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines

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Details

Author
OpenBMB
Category
Code & Development
Platform
GitHub
Framework
openai
Language
python
Stars
5,482
First indexed
2026-05-15
Last active
2026-04-13
Directory sync
2026-05-15
@OpenBMB@openbmbwww.openbmb.cnDiscord

Overview

A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines

Quick start

git

git clone https://github.com/OpenBMB/UltraRAG

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What UltraRAG can do

frameworkragembeddingllmcode
  • Framework — framework task automation.
  • Rag — Retrieves grounded context before answering.
  • Embedding — Computes vector embeddings for semantic search.
  • Llm — llm task automation.
  • Code — Reads and modifies code in your repository.

Frequently asked questions

What is UltraRAG?
A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines
How do I install UltraRAG?
Use git: `git clone https://github.com/OpenBMB/UltraRAG`. Full setup details on the source page linked above.
Is UltraRAG open source?
UltraRAG is published on GitHub.
What are alternatives to UltraRAG?
Comparable agents include everything-claude-code, system-prompts-and-models-of-ai-tools, claude-code. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for UltraRAG is sourced from GitHub, published by OpenBMB.

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