weaviate-query-agent
CommunityIntelligent search & RAG for your local Weaviate.
Authorsaskinosie
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Extracting precise information from large datasets using vector search, keyword search, and Retrieval Augmented Generation (RAG) can be challenging. This Skill provides a comprehensive agent to intelligently query your local Weaviate database, filter results, and generate accurate answers, including analysis of visual content.
Core Features & Use Cases
- Semantic & Hybrid Search: Find information based on meaning, keywords, or a powerful combination of both for highly relevant results.
- Advanced Filtering: Refine search results using property-based conditions (e.g., filter by author, date, or category).
- RAG (Retrieval Augmented Generation): Generate concise, context-aware answers to complex questions using retrieved information, including vision-enabled RAG for analyzing images and diagrams.
- Use Case: Ask "What are the seismic zone requirements for building codes?" and get a direct answer with cited sources from your technical documentation collection, even analyzing relevant diagrams or maps within the documents.
Quick Start
Search my 'TechnicalDocuments' collection for information about "HVAC system maintenance" and summarize the key steps.
Dependency Matrix
Required Modules
weaviate-clientopenai
Components
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: weaviate-query-agent Download link: https://github.com/saskinosie/weaviate-claude-skills/archive/main.zip#weaviate-query-agent Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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