Introducing Korvus: Simplifying Retrieval-Augmented Generation (RAG) Workflows with PostgresML

The Korvus project is revolutionizing the way developers build and maintain Retrieval-Augmented Generation (RAG) pipelines. By condensing the entire workflow into a single SQL query executed within a Postgres database, Korvus eliminates the need for multiple external services and tools, simplifying development and potentially improving performance. Leveraging PostgresML for in-database machine learning, Korvus offers a streamlined, efficient solution for handling large datasets and complex search applications. With support for multiple programming languages and state-of-the-art features, Korvus is set to make a significant impact in the tech industry.