How to Use PostgreSQL for Retrieval-Augmented Generation (RAG)

How to Use PostgreSQL for Retrieval-Augmented Generation (RAG)

https://businesscompassllc.com/how-to-use-postgresql-for-retrieval-augmented-generation-rag/

Retrieval-augmented generation (RAG) is a powerful technique for enhancing Large Language Models (LLMs) by retrieving relevant documents from a database to generate more context-aware responses. PostgreSQL, an advanced open-source relational database, is a great choice for implementing RAG due to its support for full-text search, vector similarity search (via extensions like pgvector), and scalability. This podcast will guide you through using PostgreSQL for RAG, integrating it with LLMs to create AI-powered applications.