marcusschiesser/vectorstores
Vectorstores is a framework for using vector databases in your AI applications
Provides unified data ingestion and retrieval across multiple vector databases with pluggable provider packages, while maintaining compatibility across Node.js, Deno, Bun, and edge runtimes. Built as a lightweight alternative to LlamaIndexTS (77.5kb gzip), it integrates with embedding providers like OpenAI and works seamlessly with the Vercel AI SDK for context engineering workflows.
Stars
15
Forks
4
Language
TypeScript
License
MIT
Category
Last pushed
Jan 16, 2026
Commits (30d)
0
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