RAG Fact Search

Community

Local semantic search for facts

Authorarunoda
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill enables efficient retrieval of specific, extracted facts from your personal knowledge base using semantic search, ensuring AI responses are grounded in your data.

Core Features & Use Cases

  • Local Semantic Search: Utilizes Ollama embeddings and sqlite-vec for fast, private vector search over extracted facts.
  • Fact Retrieval: Finds relevant facts based on the semantic meaning of your query, not just keywords.
  • Use Case: When asking a question, the AI can automatically find and use previously extracted facts about a specific topic (e.g., "What were the key takeaways from my meeting about Project X?") to provide a more informed and personalized answer.

Quick Start

Ask the AI a question about a topic you've previously discussed to see relevant facts automatically included in the response.

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

💻 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: RAG Fact Search
Download link: https://github.com/arunoda/OkBrain/archive/main.zip#rag-fact-search

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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