farouqzaib/mettis
Vector Database implemented in Golang with support for full-text and vector search as well as fault tolerance via Raft.
This project offers a foundational vector database for experimenting with information retrieval. It takes raw text documents as input and allows you to perform both keyword-based and semantic searches, returning relevant documents. It's designed for developers and researchers who want to understand or build custom search solutions from the ground up.
No commits in the last 6 months.
Use this if you are a developer or researcher looking to build, test, and understand the core mechanics of a distributed search engine supporting both full-text and semantic queries.
Not ideal if you need a production-ready, highly optimized, and robust search solution for mission-critical applications.
Stars
62
Forks
4
Language
Go
License
—
Category
Last pushed
Jul 25, 2024
Commits (30d)
0
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curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/farouqzaib/mettis"
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