Use language models to create text embeddings within your PostgreSQL database with the public preview release of azure_local_ai. This new extension for Azure Database for PostgreSQL enables you to create text embeddings from an LLM deployed within the same VM as your Azure Database for PostgreSQL database. This feature greatly reduces latency and improves performance for text analytics applications that rely on embeddings to measure semantic similarity, perform clustering, or extract insights. With the azure_local_ai extension, you can leverage the power of LLMs without leaving your database or compromising on security.
To get started, visit the azure_local_ai extension documentation page, enable the extension and begin creating embeddings from your text data without leaving the Azure Database for PostgreSQL boundary.
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Home Business IT Public Preview: In-database embeddings in Azure Database for PostgreSQL – Flexible Server