weaviate-claude-skills

🥈Silver

Connect Claude.ai to local Weaviate vector databases for managing collections, ingesting data, and querying with RAG. Ideal for operations teams using Docker to enhance document search and semantic search capabilities.

4060Updated 2w ago

Intermediate30min to implementautomation

Saves ~90 min per use

Quick InstallView Source

git clone https://github.com/saskinosie/weaviate-claude-skills.git

Works with:

Claude

Overview

About This Skill

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/saskinosie/weaviate-claude-skills

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

I want to connect Claude to my local Weaviate vector database running in Docker. Here's my setup: [DESCRIBE SETUP]. Please guide me through the process of connecting Claude to Weaviate, including authentication, data ingestion, and performing RAG queries. I want to use this for [SPECIFIC USE CASE].

Example Output

# Weaviate-Claude Integration Guide

## Prerequisites
- Docker installed and running
- Weaviate instance running in Docker
- Claude.ai account

## Step 1: Connecting to Weaviate
1. Ensure your Weaviate instance is accessible via the Docker IP address
2. Note your Weaviate port (default is 8080)
3. Prepare your API key or authentication credentials

## Step 2: Data Ingestion
```
# Example data ingestion command
curl -X POST \
  -H 'Content-Type: application/json' \
  -H 'Authorization: Bearer YOUR_API_KEY' \
  -d '{"class": "Document", "properties": {"title": "Sample Document", "content": "This is a sample document for testing Weaviate-Claude integration."}}' \
  http://localhost:8080/v1/objects
```

## Step 3: Performing RAG Queries
1. Use the following prompt in Claude to query your Weaviate database:
   "Based on the data in my Weaviate database, provide a summary of the key points related to [TOPIC]."
2. Ensure your prompt includes the necessary context for accurate retrieval.

## Troubleshooting
- If you encounter connection issues, verify your Docker network settings
- Ensure your Weaviate instance is running and accessible
- Check your API key and authentication credentials