3 posts tagged with "vector-search"

We're excited to share that KeraDB is now available on PyPI, making it easy to use KeraDB directly in Python applications.

You can now install KeraDB with a single command:

pip install keradb

This release makes KeraDB accessible to Python developers building local-first apps, agents, data tools, and embedded systems that need fast document storage and vector search without running an external database.

This post summarizes the results of our v0.1.0 benchmark comparison between KeraDB, an embedded NoSQL + vector search database, and SQLite, the widely used embedded relational engine.
The goal is to highlight the strengths of each system and provide transparency on where KeraDB excels today—and where we plan to optimize next.

We're thrilled to announce the official launch of KeraDB — a lightweight, embedded database with MongoDB-compatible APIs and built-in vector search capabilities.