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OpenClaw

Clawrag

ClawRAG Connector

2dogsandanerd0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install 2dogsandanerd/clawrag

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

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

Capability Description
Document Upload PDF, DOCX, TXT, MD via API or folder
Hybrid Query Vector similarity + keyword matching
Citations Source tracking for all answers
Multi-Collection Organize knowledge by project

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

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/2dogsandanerd/clawrag
Version
—
Commit
21dfe453e9a45f87b531ff3590ce149870c3a563
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

SKILL.md
# 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)
```bash
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
```bash
openclaw mcp add --transport stdio clawrag npx -y @clawrag/mcp-server
```

### Verification
Test your setup:
```bash
curl http://localhost:8080/api/v1/rag/collections
```

## Features

| Capability | Description |
|------------|-------------|
| Document Upload | PDF, DOCX, TXT, MD via API or folder |
| Hybrid Query | Vector similarity + keyword matching |
| Citations | Source tracking for all answers |
| Multi-Collection | Organize knowledge by project |

## 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/pa...

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