how-to-do-offline-recommendations-with-sqlite-and-gemini
CommunityAI-powered content recommendations offline.
Authorrodydavis
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill enables AI-powered content recommendations within your CMS, like PocketBase, by leveraging text embeddings and SQLite for efficient, offline related content suggestions.
Core Features & Use Cases
- Text Embeddings: Convert text into numerical vectors for similarity calculations.
- SQLite Storage: Utilize
sqlite-vecfor efficient vector storage and k-nearest neighbor (kNN) search. - Offline Recommendations: Generate related content suggestions without requiring network calls, ensuring scalability.
- Use Case: Enhance a blog platform by automatically suggesting related articles to readers based on the content they are currently viewing, all processed locally.
Quick Start
Use the how-to-do-offline-recommendations-with-sqlite-and-gemini skill to generate recommendations for the current blog post.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 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: how-to-do-offline-recommendations-with-sqlite-and-gemini Download link: https://github.com/rodydavis/skills/archive/main.zip#how-to-do-offline-recommendations-with-sqlite-and-gemini Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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