ClawRAG Connector

The Brain for OpenClaw - Self-hosted RAG engine with hybrid search.

⚠️ This skill requires Docker. It connects OpenClaw to your local ClawRAG instance.

What is ClawRAG?

Production-ready RAG infrastructure that keeps your data local:

• 🔒 Privacy-first: Vector DB runs on your machine
• 🔍 Hybrid Search: Semantic + Keyword (BM25) + RRF ranking
• 📄 Smart Ingestion: PDFs, Office docs, Markdown via Docling
• 🧠 MCP-native: Seamless OpenClaw integration

Installation

Step 1: Start ClawRAG (Docker)

git clone https://github.com/2dogsandanerd/ClawRag.git
cd ClawRag
cp .env.example .env
docker compose up -d

Wait for http://localhost:8080/health to return OK.

Step 2: Connect OpenClaw

openclaw mcp add --transport stdio clawrag npx -y @clawrag/mcp-server

Verification

Test your setup:

curl http://localhost:8080/api/v1/rag/collections

Features

Requirements

• Docker + Docker Compose
• 4GB+ RAM (8GB recommended for local LLM)
• Or: OpenAI/Anthropic API key for cloud LLM

Architecture

OpenClaw ◄──MCP──► @clawrag/mcp-server ◄──HTTP──► ClawRAG API (localhost:8080)
                                           │
                                           ▼
                                    ┌─────────────┐
                                    │  ChromaDB   │
                                    │  (vectors)  │
                                    └─────────────┘

Links

• 📚 Full Docs: https://github.com/2dogsandanerd/ClawRag#readme
• 🔧 API Reference: http://localhost:8080/docs (when running)
• 🐛 Issues: https://github.com/2dogsandanerd/ClawRag/issues
• 📦 MCP Package: https://www.npmjs.com/package/@clawrag/mcp-server

Tags

rag, vector, memory, search, documents, self-hosted, privacy, mcp, local-ai

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Metadata für ClawHub-Upload:

Changelog für Version 1.2.0

1.2.0 - Initial ClawHub Release

• Connector skill for OpenClaw integration
• MCP server support (@clawrag/mcp-server v1.1.0)
• Docker-first deployment
• Hybrid search (Vector + BM25)