Hello HN,<p>I'm learning about RAG (Retrival Augmented Generation) and I am building a chatbot that can do Q&A over some documentation. I know a lot of people are working on it and wanted to know to if there were any particular recommendations for handling API documentation in this scenario (for example, what would be the best way to use Swagger API documentation with the chatbot?)<p>Is the recommendation to just treat it like any other text data source? Or are there are techniques for using RAG with structured data?
TrueFoundry has recently introduced a new open-source framework called Cognita, which utilizes Retriever-Augmented Generation (RAG) technology to simplify the transition by providing robust, scalable solutions for deploying AI applications.<p>Try it out: <a href="https://github.com/truefoundry/cognita">https://github.com/truefoundry/cognita</a>
Read the technical blog here: <a href="https://www.truefoundry.com/blog/cognita-building-an-open-source-modular-rag-applications-for-production" rel="nofollow">https://www.truefoundry.com/blog/cognita-building-an-open-so...</a>