pgvector-python

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name: pgvector-python slug: pgvector-python url: https://github.com/pgvector/pgvector-python category: sdks-libraries brand: pgvector brand_logo: https://avatars.githubusercontent.com/u/101229709 images:

• https://opengraph.githubassets.com/1/pgvector/pgvector-python tags:
• sdk
• pgvector
• vector-store license: MIT featured: false

summary: | Python library for working with the pgvector PostgreSQL extension, enabling storage and similarity search of vector embeddings from Python-based AI/ML workflows and popular Python ORMs.

features: |

• Native Python client for pgvector, the PostgreSQL extension for vector similarity search
• Integrates PostgreSQL vector storage with Python AI/ML pipelines
• Support for popular Python frameworks and ORMs, including Django and SQLAlchemy (and likely other DB abstraction layers such as SQLModel)
• Provides tools to store, query, and compare vector embeddings directly in PostgreSQL
• Enables similarity search and nearest-neighbor queries on vector data
• Example code included (in examples/) to demonstrate usage patterns and integrations
• Test suite (in tests/) for validating behavior and integrations
• Distributed as a standard Python package (configured via pyproject.toml)
• Open-source under the MIT license

use_cases: |

• Persisting embedding vectors (from models such as sentence transformers or other embedding models) in PostgreSQL via pgvector from Python code
• Implementing semantic search or recommendation systems using vector similarity queries in Python applications
• Integrating vector search into Django- or SQLAlchemy-based web applications
• Prototyping and experimenting with pgvector functionality using the included Python examples

pricing: |

• Open source, MIT-licensed (no paid plans listed)

notes: |

• Full feature set and detailed integration examples are available in the repository’s README and examples directory.