Titan AI LogoTitan AI

qdrant

25,984
1,813
Rust

Project Description

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/

qdrant: Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next gener

Project Title

qdrant — High-performance Vector Database and Search Engine for AI Applications

Overview

Qdrant is a high-performance, massive-scale vector database and search engine designed for next-generation AI applications. It offers a production-ready service with a convenient API to store, search, and manage vectors with additional payloads. Qdrant is tailored for extended filtering support, making it useful for neural-network or semantic-based matching, faceted search, and other applications. Written in Rust, it ensures speed and reliability under high load.

Key Features

  • Vector similarity search engine and database
  • Extended filtering support for neural-network or semantic-based matching
  • Fast and reliable performance due to Rust implementation
  • Production-ready service with a convenient API
  • Available as a fully managed Qdrant Cloud service

Use Cases

  • AI applications requiring high-speed vector search and matching
  • Semantic search and recommendation systems
  • Faceted search applications in e-commerce or content platforms
  • Applications leveraging neural network encoders for matching and searching

Advantages

  • High performance and scalability for massive-scale vector databases
  • Tailored for extended filtering, useful in various AI applications
  • Rust-based implementation for reliability and speed
  • Available as a cloud service with a free tier

Limitations / Considerations

  • May require specific knowledge of vector databases and AI applications
  • Cloud service may have limitations based on the chosen plan

Similar / Related Projects

  • FAISS: A library for efficient similarity search and clustering of dense vectors, differing in that it's primarily a library rather than a full database solution.
  • Annoy: A library for approximate nearest neighbors, offering a different approach to vector search with a focus on approximation.
  • Milvus: An open-source vector database built to manage and search massive amounts of vectors, differing in its architecture and query language.

Basic Information


📊 Project Information

  • Project Name: qdrant
  • GitHub URL: https://github.com/qdrant/qdrant
  • Programming Language: Rust
  • ⭐ Stars: 25,395
  • 🍴 Forks: 1,770
  • 📅 Created: 2020-05-30
  • 🔄 Last Updated: 2025-08-20

🏷️ Project Topics

Topics: [, ", a, i, -, s, e, a, r, c, h, ", ,, , ", a, i, -, s, e, a, r, c, h, -, e, n, g, i, n, e, ", ,, , ", e, m, b, e, d, d, i, n, g, s, -, s, i, m, i, l, a, r, i, t, y, ", ,, , ", h, n, s, w, ", ,, , ", i, m, a, g, e, -, s, e, a, r, c, h, ", ,, , ", k, n, n, -, a, l, g, o, r, i, t, h, m, ", ,, , ", m, a, c, h, i, n, e, -, l, e, a, r, n, i, n, g, ", ,, , ", m, l, o, p, s, ", ,, , ", n, e, a, r, e, s, t, -, n, e, i, g, h, b, o, r, -, s, e, a, r, c, h, ", ,, , ", n, e, u, r, a, l, -, n, e, t, w, o, r, k, ", ,, , ", n, e, u, r, a, l, -, s, e, a, r, c, h, ", ,, , ", r, e, c, o, m, m, e, n, d, e, r, -, s, y, s, t, e, m, ", ,, , ", s, e, a, r, c, h, ", ,, , ", s, e, a, r, c, h, -, e, n, g, i, n, e, ", ,, , ", s, e, a, r, c, h, -, e, n, g, i, n, e, s, ", ,, , ", s, i, m, i, l, a, r, i, t, y, -, s, e, a, r, c, h, ", ,, , ", v, e, c, t, o, r, -, d, a, t, a, b, a, s, e, ", ,, , ", v, e, c, t, o, r, -, s, e, a, r, c, h, ", ,, , ", v, e, c, t, o, r, -, s, e, a, r, c, h, -, e, n, g, i, n, e, ", ]


📚 Documentation


This article is automatically generated by AI based on GitHub project information and README content analysis

Titan AI Explorehttps://www.titanaiexplore.com/projects/qdrant-268163609en-USTechnology

Project Information

Created on 5/30/2020
Updated on 9/15/2025