🔗 Building RAG with Postgres

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A step by step guide to building a RAG system with Postgres

Postgres is a powerful tool for implementing Retrieval-Augmented Generation (RAG) systems. Its versatility and robustness make it an excellent choice for this task. By diving deep into a technology you're already familiar with, you can experience a significant productivity boost. As the saying goes, "stick with the tools you know." Using Postgres for RAG allows you to reason about the system more easily, cutting through the hype and focusing on building something great.

Now, let's explore how we can build a RAG system using Postgres. We'll go through each component step by step, from data ingestion to response generation, and see how Postgres fits into the overall architecture.

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