Cognita : A Truly Unified RAG Framework : Part 1

Seamlessly Parse, Precisely Retrieve, Intelligently Generate & Effortlessly Deploy, let’s go…

Credit : https://github.com/truefoundry/cognita

Why care, when there’s so many out there?

When it comes to Retrieval Augmented Generation (RAG) systems, there are indeed numerous frameworks and libraries available. However, Cognita stands out as a comprehensive and modular solution that addresses some of the key challenges faced by teams working on RAG applications.

In Search of True Production Grade Complete RAG framework

Let’s explore issues w/ some of current frameworks

Disclaimer: Below findings are based on the authors’ exploration of existing known frameworks at the time of writing, and these issues may have been addressed by other frameworks since then, but the author has not seen any such comprehensive solution as of this writing.

1. Chunking and Embedding as a Separate Job: The code for chunking documents and embedding them usually needs to be separated out and deployed as a scheduled or event-triggered job to keep data updated. This can be complex to set up and manage, with currently available frameworks.