A library to gather structured statistics on the source code files in a software repository, generate embeddings and store in a vector database.
-
Updated
Jan 6, 2024 - Rust
A library to gather structured statistics on the source code files in a software repository, generate embeddings and store in a vector database.
A vector database for querying meaningfully similar data.
An overview and analysis of structures optimized for nearest neighbour searches.
Semantic search and relevance engine for e-commerce
This is a thin wrapper around LanceDb (VectorDb) meant to provide a means to create/store/query embeddings in a LanceDb without the need to grok the lower level Arrow/ColumnarDb tech.
ArcMind Vector DB
next generation vector db built with lmdb bindings
This tool provides a fast and efficient way to convert text into vector embeddings and store them in the Qdrant search engine. Built with Rust, this tool is designed to handle large datasets and deliver lightning-fast search results.
Verifiable vector similarity queries PoC with Halo2.
The official Rust client for the Pinecone vector database
A serverless-friendly vector database in your hands
⚡️Lightning fast in-memory VectorDB written in rust🦀
WIP: Suite of tools containing for in-memory vector key value store and AI proxy
Rust client library for ChromaDB
Vemcache is an in-memory vector database.
Hybrid vector database with flexible SQL storage engine & multi-index support.
A tiny embedding database in pure Rust.
Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database.
Add a description, image, and links to the vector-database topic page so that developers can more easily learn about it.
To associate your repository with the vector-database topic, visit your repo's landing page and select "manage topics."