KevKibe/memvectordb

⚡️Lightning fast in-memory VectorDB written in rust🦀

21
/ 100
Experimental

This is a lightning-fast in-memory database designed for storing and retrieving vector embeddings, which are numerical representations of data like text, images, or audio. It takes in vectors, often with associated metadata, and allows for rapid querying and retrieval. This tool is for developers building applications that rely on efficient similarity searches, such as AI-powered recommendation systems or intelligent search.

No commits in the last 6 months.

Use this if you need a high-speed, scalable database for managing vector embeddings and their metadata within your application, especially for Retrieval Augmented Generation (RAG) pipelines.

Not ideal if your application requires a persistent database solution that can handle massive datasets beyond the available system memory.

vector-search AI-application-development RAG-pipeline semantic-search recommendation-systems
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 8 / 25
Community 6 / 25

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30

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2

Language

Rust

License

Last pushed

Mar 10, 2025

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curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/KevKibe/memvectordb"

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