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 with Halo2.

A serverless-friendly vector database in your hands

Vector database for WASM

A tiny embedding database in pure Rust.

A library to gather structured statistics on the source code files in a software repository, generate embeddings and store in a vector database.

Semantic search and relevance engine for e-commerce

ArcMind Vector DB

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.

An overview and analysis of structures optimized for nearest neighbour searches.

Vemcache is an in-memory vector database.

Scalable Embedded Vector Index for Go and Rust

In-memory vector store with efficient read and write performance for semantic caching and retrieval system. Redis for Semantic Caching.

An vector search SQLite extension baked by VSAG.

Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database.

Web-optimized vector database (written in Rust).

A vector database for querying meaningfully similar data.

⚡️Lightning fast in-memory VectorDB written in rust🦀

A simple vector database in rust