Qdrant
Open-source alternative to Supabase, Pinecone, Algolia.
Qdrant is an open-source vector database that provides high-performance similarity search for AI and machine learning applications.

Qdrant is an open-source vector database that provides high-performance similarity search for AI and machine learning applications.
Some key features of Qdrant:
- Open-source alternative to Supabase, Pinecone, Algolia
- AI Development Platforms and Databases coverage
- GitHub stars, forks, license, last commit, and activity score synced from directory sources
- Codex course and interactive classroom previews attached to the repository detail page
Learning previews
Learn this project
Codex HTML Course
Qdrant Codex HTML Course
Qdrant Codex HTML Course is being prepared for this directory project.
Interactive Classroom
Qdrant Interactive Classroom
Qdrant Interactive Classroom is being prepared for this directory project.
Categories
Built with
Related projects
Milvus
Apache-2.0
Open-source vector database optimized for similarity search, scaling to billions of vectors with minimal performance loss
Chroma
Apache-2.0
Open-source vector database designed for AI applications. Store, search, and retrieve embeddings with semantic similarity matching and metadata filtering.
Weaviate
BSD-3-Clause
Open-source vector database designed for building powerful, production-ready AI applications with hybrid search capabilities and flexible deployment options.
HelixDB
Apache-2.0
Rust-built native graph-vector database combining vector similarity search and graph traversals. 10x faster development with unified architecture, sub-1ms queries.
SlateDB
Apache-2.0
SlateDB is an embedded storage engine that leverages object storage for durability, scalability, and simplified replication without the need for disk management.
Neon Postgres
Apache-2.0
Cloud-native, auto-scaling Postgres with instant branching, bottomless storage, and pay-per-use pricing

















