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Enhancing Heroku Postgres with pgvector: Generating AI Insights
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Enhancing Heroku Postgres with pgvector: Generating AI Insights

Heroku·Jonathan Brown·about 1 month ago
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We’re pleased to introduce the pgvector extension on Heroku Postgres . In an era where large language models (LLMs) and AI applications are paramount, pgvector provides the essential capability for performing high-dimensional vector similarity searches. This allows Heroku Postgres to quickly find similar data points in complex data, which is great for applications like recommendation systems and prompt engineering for LLMs. As of today, pgvector is fully compatible with all Production-tier databases running Postgres 15 at no additional charge and you can get started with a simple CREATE EXTENSION vector; command in your client session . In this post, we look at how you can use pgvector and its potential applications to enhance your business operations. Understanding pgvector and Its Significance Heroku Postgres has evolved well beyond being “just” a relational database. It’s become an adaptable platform enriched with a range of extensions that add new functionalities.…

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