Vector Search API

This is a lightweight vector search implementation that runs in memory and uses TF-IDF with cosine similarity for document matching. The repository doesn't expose much documentation, but the core use case is clear: you need semantic search without external dependencies or heavy embedding models. It's designed to work with x402 micropayments, suggesting a pay-per-query model running on the remote endpoint at klymax402.com. Reach for this when you want basic similarity search for Claude without spinning up a vector database or paying for OpenAI embeddings. The tradeoff is simplicity over sophistication, TF-IDF won't understand semantic meaning the way transformers do, but it's fast and deterministic for keyword-adjacent matching.