mihirahuja1/vectorwrap
Universal vector search wrapper for Postgres, MySQL, SQLite (pgvector, Vector Store, sqlite‑vss).
This helps developers integrate semantic search capabilities into their applications by providing a unified way to store and query vector embeddings in popular relational databases. It takes numerical vector representations of data (like text or images) and allows searching for similar items, returning the most relevant results. Developers building AI-powered features like recommendation engines or intelligent search can use this to manage their vector data.
Use this if you are a developer who needs to perform semantic searches and want the flexibility to use different relational databases like PostgreSQL, MySQL, or SQLite as your vector store without rewriting your code for each one.
Not ideal if you need a fully managed, high-performance dedicated vector database solution with advanced indexing features and don't require the flexibility of switching between relational databases.
Stars
44
Forks
—
Language
Python
License
MIT
Category
Last pushed
Feb 02, 2026
Commits (30d)
0
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