Open Source Vector Databases using Python
A curated collection of the best open source databases optimized for storing and searching vector embeddings. using Python.
High-performance vector database for GenAI applications
Stars
46,026Last commit
17 hours agoLicense
Apache-2.0
Open-source vector database optimized for similarity search, scaling to billions of vectors with minimal performance loss
Open Source Alternative to:
Fast, scalable vector database for AI applications
Stars
34,449Last commit
12 hours agoLicense
Apache-2.0
Qdrant is an open-source vector database that provides high-performance similarity search for AI and machine learning applications.
Open Source Alternative to:
Open-source vector database for AI search and retrieval
Stars
29,252Last commit
13 hours agoLicense
Apache-2.0
Open-source vector database designed for AI applications. Store, search, and retrieve embeddings with semantic similarity matching and metadata filtering.
Open Source Alternative to:
AI-native vector database for intuitive applications
Stars
16,794Last commit
14 hours agoLicense
BSD-3-Clause
Open-source vector database designed for building powerful, production-ready AI applications with hybrid search capabilities and flexible deployment options.
Open Source Alternative to:
The tensor database for AI data
Stars
9,232Last commit
4 months agoLicense
Apache-2.0
Deep Lake is an open-source database for storing, querying and managing complex AI data like images, audio, and embeddings.
Open Source Alternative to:
Openlane – Open-source, developer-first platform for automated compliance, risk management, and built-in Trust Center.
Openlane