Evaluate embedding models, vector databases, and integration patterns for implementing semantic search over SpecKit artifacts.

Goals

• Identify suitable embedding models
• Evaluate vector database options
• Define integration architecture

Acceptance Criteria

• Decision documented in .specify/decisions/002-rag-vector-db-approach.md
• ADR includes: evaluated options (embedding models, vector DBs)
• Pros/cons and chosen approach clearly stated
• Decision referenced from spec.md

Areas to Explore

• Embedding models (OpenAI, sentence-transformers, etc.)
• Vector DBs (Chroma, Pinecone, local options)
• RAG patterns and chunking strategies

Related Links

• Feature Specification