Category: AI

AI Features and extensions pgvector

PostgreSQL pgvector and RAG: Best Practices and Examples for Better Results

Retrieval-Augmented Generation (RAG) has become one of the most practical applications of AI in production systems, and PostgreSQL’s pgvector extension has emerged as a robust solution for implementing vector search. However, getting optimal results requires more than just installing pgvector and throwing embeddings at it. Let’s explore proven best practices and real-world examples to help […]

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AI Features and extensions pgvector pgvectorscale

PostgreSQL Vector Search: From Possible to Competitive with pgvector and pgvectorscale

PostgreSQL has quietly crossed an important line in the last year: AI with Postgres is no longer a science project, it is genuinely competitive with specialized vector databases at production scale. From “possible” to “competitive” For a long time, the story around AI and Postgres sounded like “you can do it if you really want […]

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