The Power of Vector Search in PostgreSQL with pgvector . . . Here’s why PostgreSQL + pgvector is a winning combination: 1 Seamless Integration: pgvector integrates directly into PostgreSQL, so you don’t need to manage a separate vector database
pgvector: The Critical PostgreSQL Component for Your . . . pgvector is an open source PostgreSQL extension that enables high-performance similarity searches across vector embeddings In simpler terms, it allows your PostgreSQL database to understand and compare “similar” items—whether they’re product descriptions, images, customer behaviors, or any other data you’ve converted to vector format
pgvector Tutorial: Integrate Vector Search into PostgreSQL pgvector is an open-source extension for PostgreSQL that adds support for vector operations and similarity searches It lets you store, index, and query vector data directly within your PostgreSQL database
Enable and use pgvector in Azure Database for PostgreSQL . . . APPLIES TO: Azure Database for PostgreSQL - Flexible Server The pgvector extension adds an open-source vector similarity search to PostgreSQL This article introduces us to extra capabilities enabled by pgvector It covers the concepts of vector similarity and embeddings, and provides guidance on how to enable the pgvector extension We learn
How Postgres with pgvector Powers AI Use Cases | EDB pgvector is an open source extension that enables native vector data management capabilities in PostgreSQL – essential for applications such as chatbots, copilots, multimodal AI, recommendation systems, and more
Uncovering the Power of Vector Databases with pgvector: An . . . We introduced pgvector, a versatile PostgreSQL extension that inherently supports vector data storage and search, presenting an accessible vector database solution Using a practical guide, we demonstrated the process of creating tables using pgvector, inserting data, and querying for similar items
PostgreSQL for AI: Storing and Searching Embeddings with pgvector With the pgvector extension PostgreSQL becomes a powerful vector database, enabling you to combine traditional relational data with vector-based operations In this post, we will walk through the full process: