UltraRAG
UltraRAG ist ein Low-Code-MCP-Framework von OpenBMB zum Erstellen komplexer, innovativer RAG-Pipelines mit einer visuellen Chat-Schnittstelle.
Überblick
Anforderungen
Empfohlener VPS
Hostinger · KVM 4
4 vCPU · 16384 MB · 200 GB
Hostinger · KVM 4
4 vCPU · 16384 MB · 200 GB
Hostinger · KVM 8
8 vCPU · 32256 MB · 400 GB
Affiliate-Hinweis
Docker Compose
# Generated by Run This Ai — docker-compose.yml
services:
ultrarag:
image: hdxin2002/ultrarag:latest
restart: unless-stopped
ports:
- 8080:8080
volumes:
- ./data/ultrarag:/data
Verwandte Tools
LangChain
Build context-aware reasoning applications powered by LLMs
Supabase
Open-source Postgres platform for AI apps with vector search, realtime subscriptions & built-in dashboard
RedisStack
Redis with integrated modules for vector search, JSON, and search capabilities
Meilisearch
Lightning-fast search engine with AI-powered hybrid and vector search
PrivateGPT
Chat with your documents privately using LLMs — 100% local, no data leaks
Milvus
High-performance cloud-native vector database for scalable ANN search
Anleitungen & Artikel
UltraRAG Tutorial: Deploy Your First RAG Pipeline with Docker Compose
Step-by-step: deploy UltraRAG with Docker Compose, connect your documents, enable hybrid search and reranking, and expose your knowledge base as an MCP tool.
UltraRAG Guide: Build Production RAG Pipelines with a Low-Code MCP Framework
UltraRAG is a low-code MCP framework from OpenBMB for building complex, innovative RAG pipelines. Here's everything you need to know about architecture, capabilities, and self-hosting.