KevKibe/memvectordb
⚡️Lightning fast in-memory VectorDB written in rust🦀
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.
Stars
30
Forks
2
Language
Rust
License
—
Category
Last pushed
Mar 10, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/KevKibe/memvectordb"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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