RAG Fact Search
CommunityLocal 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 requiredComponents
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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