Artificial intelligence, machine learning, and deep learning are intertwined capabilities that attempt to solve problems that defy traditional computational solutions — problems include fraud detection, voice recognition, and search result recommendations.…

Video with transcript included on InfoQ: https://bit.ly/4aUrHmo

Montana Low provides an understanding of how Postgres can be used as a vector database for AI and how it can be integrated into your existing application stack.

#MachineLearning #PostgresML…

In this video, you'll learn how AI can make database queries easier. We show how to use Ollama’s AI model to create and run SQL queries on PostgreSQL automatically. AI helps speed up complex tasks, making data retrieval faster and more efficient. Watch and…

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Meet pgai and pgvectorscale, two new open-source extensions that make PostgreSQL even better for AI applications.

[pgvector](https://github.com/pgvector/pgvector/), an open-source PostgreSQL extension that provides vector similarity search capabilities, has released [v0.7.0](https://github.com/pgvector/pgvector/releases/tag/v0.7.0). This new release includes many new…

Open-source vector similarity search for Postgres. Contribute to pgvector/pgvector development by creating an account on GitHub.

Train and deploy models to make online predictions using only SQL, with an open source Postgres extension.

How to build a local retrieval-augmented generation application using Postgres, the pgvector extension, Ollama, and the Llama 3 large language model.

In this intro to PostgreSQL Connection Pooling, we discuss the pros and cons of using a connection pooler, and how it helps you manage your database connections