A lightning-fast search API that fits effortlessly into your apps, websites, and workflow

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

Postgres with GPUs for ML/AI apps.

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

Scalable, fast, and disk-friendly vector search in Postgres, the successor of pgvecto.rs.

A tiny embedding database in pure Rust.

A minimalist yet highly performant, lightweight, lightning fast, multisource, multimodal and local Ingestion, Inference and Indexing solution, built in Rust.

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

Suite of tools containing an in-memory vector datastore and AI proxy

Vemcache is an in-memory vector database.

Scalable Embedded Vector Index for Go and Rust

Rust client library for ChromaDB

ChronoMind: Redefining Vector Intelligence Through Time.

A better version of KU's course catalogue

⚡️Lightning fast in-memory VectorDB written in rust🦀

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.

next generation vector db built with lmdb bindings

The official Rust client for the Pinecone vector database

a vector search app: skibidi vibes, data dives

A vector database for querying meaningfully similar data.