vector-storage
A lightweight and efficient vector database for storing and searching text embeddings in the browser's local storage. The package uses OpenAI's API to generate embeddings for text documents and provides functionality for similarity search, filtering, and
ai-embed-search
Smart. Simple. Local. AI-powered semantic search in TypeScript using transformer embeddings. No cloud, no API keys — 100% offline.
semantic-chunking
Semantically create chunks from large texts. Useful for workflows involving large language models (LLMs).
find-versions
Find semver versions in a string: `unicorn v1.2.3` → `1.2.3`