mmilunovic/m2vdb
vector db built by someone with no idea how to build a vector db
This project helps developers and applied scientists understand and experiment with vector search technology. It takes in numerical vector data and allows you to store, index, and query it to find the most similar vectors. This is designed for those who want to learn how vector databases work from the ground up or need a tool for prototyping and benchmarking different vector search algorithms.
Used by 1 other package. Available on PyPI.
Use this if you are a developer or applied scientist keen on learning the inner workings of vector databases, prototyping new ideas, or comparing different approximate nearest neighbor algorithms.
Not ideal if you need a production-ready, highly optimized, and robust vector database for large-scale, mission-critical applications.
Stars
8
Forks
—
Language
Python
License
MIT
Category
Last pushed
Feb 05, 2026
Commits (30d)
0
Dependencies
12
Reverse dependents
1
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