Snippets

Stores and searches code snippets using semantic similarity combined with keyword matching, providing automatic language detection, tag filtering, and hybrid search capabilities for building searchable developer knowledge bases.

Stores, searches, and manages code snippets using AI-powered semantic search combined with traditional keyword matching. Built using the Xenova/all-MiniLM-L6-v2 model for vector embeddings, it provides tools for adding snippets with automatic language detection, updating and deleting snippets with re-embedding when needed, and hybrid search that combines semantic similarity (70% weight) with keyword matching (30% weight) across code, descriptions, tags, and language fields. The implementation uses JSON-based storage with cached embeddings for fast retrieval, supports filtering by tags, language, and date ranges, and requires no external database setup.