Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
-
Updated
Jun 10, 2024 - Rust
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
An embedded vector database designed to run on edge devices. Lightweight and fast with HNSW indexing algorithm.
Fast approximate nearest neighbor searching in Rust, based on HNSW index
A framework for the implementation of candidate generation/retrieval algorithms for recommender systems.
All-in-one environment to use Dria, the collective knowledge for AI.
🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .
Graph-based Approximate Nearest Neighbor Search
semantic vector search demo with gRPC server in Rust
HSNW module for Redis
Add a description, image, and links to the hnsw topic page so that developers can more easily learn about it.
To associate your repository with the hnsw topic, visit your repo's landing page and select "manage topics."