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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


    45,698
  • Last commit


    7 hours ago
  • License


    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


    34,062
  • Last commit


    8 hours ago
  • License


    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


    29,086
  • Last commit


    6 hours ago
  • License


    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


    16,740
  • Last commit


    6 hours ago
  • License


    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


    9,226
  • Last commit


    3 months ago
  • License


    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:

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