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A Practical PostgreSQL Guide to Building GenAI Apps with pgvector and RAG

Building GenAI on Postgres? This practical PostgreSQL guide covers pgvector vector search and RAG pipelines. As AI continues to advance, databases will need to integrate more sophisticated vector indexing techniques and support for emerging AI frameworks.

A Practical Guide to Building GenAI Apps on a PostgreSQL-Compatible Database reveals:

  • How pgvector powers vector search and RAG retrieval on a PostgreSQL-compatible database
  • The unique distributed architecture of YugabyteDB
  • How YugabyteDB’s distributed design enhances scalability and performance for AI workloads

Download today to discover basic AI concepts, architectural considerations, as well as access to hands-on tutorials that demonstrate how to build your first GenAI application on various platforms.

Get the Free PostgreSQL GenAI Guide

Additional Resources

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Doubling Down on PostgreSQL Compatibility: YugabyteDB Levels Up with PG15 Features

Our database experts have worked hard to make YugabyteDB the most PostgreSQL-compatible distributed database on the market. We are excited to build on our commitment to PostgreSQL by announcing that YugabyteDB now supports PG15 as a tech preview.

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