pgvector
Open-source vector similarity search for Postgres.
Overview
pgvector is an open-source extension for PostgreSQL that adds the `vector` data type and functions for vector operations. It allows you to store and query high-dimensional vectors directly within your PostgreSQL database, enabling you to build AI-powered applications on top of your existing data infrastructure.
✨ Key Features
- PostgreSQL extension
- Exact and approximate nearest neighbor (ANN) search
- L2 distance, inner product, and cosine similarity
- Transactional support
- Leverages PostgreSQL's ecosystem
🎯 Key Differentiators
- Seamless integration with PostgreSQL
- Leverages the robustness and maturity of the PostgreSQL ecosystem
- No need for a separate database for vector search
Unique Value: pgvector allows you to add powerful vector search capabilities to your existing PostgreSQL database, simplifying your stack and leveraging your current infrastructure and expertise.
🎯 Use Cases (4)
✅ Best For
- Building search and recommendation features in applications already using PostgreSQL
- Prototyping and developing AI applications with a familiar database
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Extremely large-scale vector search with billions of vectors, where a dedicated vector database might be more performant
- Applications that do not use PostgreSQL
🏆 Alternatives
Compared to dedicated vector databases, pgvector offers the convenience of a single, integrated database for both your structured and vector data, which can simplify development and operations for many use cases.
💻 Platforms
✅ Offline Mode Available
🔌 Integrations
🔒 Compliance & Security
💰 Pricing
Free tier: pgvector is a free and open-source extension.
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