cognita

Hello, a very interesting project. Conratulations for putting everything together. I have expressed some thoughts in the discussion sections of Cognita github repo: https://github.com/truefoundry/cognita/discussions/146 It would be great if the maintainers could reply.

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. Try it out: https://github.com/truefoundry/cognita

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. Try it out: https://github.com/truefoundry/cognita

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. Try it out: https://github.com/truefoundry/cognita Read the technical blog here: https://www.truefoundry.com/blog/cognita-building-an-open-so...

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. Try it out: https://github.com/truefoundry/cognita Read the technical blog here: https://www.truefoundry.com/blog/cognita-building-an-open-so...

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. Try it out: https://github.com/truefoundry/cognita Read the technical blog here: https://www.truefoundry.com/blog/cognita-building-an-open-so...

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. Try it out: https://github.com/truefoundry/cognita Read the technical blog here: https://www.truefoundry.com/blog/cognita-building-an-open-so...

Thanks for highlighting that! Here’s the GitHub link: https://github.com/truefoundry/cognita

Hey HN, exciting news! Our RAG framework, Cognita (https://github.com/truefoundry/cognita), born from collaborations with diverse enterprises, is now open-source. Currently, it offers seamless integrations with Qdrant and SingleStore. In recent weeks, numerous engineers have explored Cognita, providing invaluable insights and feedback. We deeply appreciate your input and encourage ongoing dialogue (share your thoughts in the comments – let's keep this ‘open source’). While RAG is undoubtedly powerful, the process of building a functional application with it can feel overwhelming. From selecting the right AI models to organizing data effectively, there's a lot to navigate. While tools like LangChain and LlamaIndex simplify prototyping, an accessible, ready-to-use open-source RAG template with modular support is still missing. That's where

Hi, I've come across an open-source API-driven RAG framework launched recently. It's different from other frameworks in a lot of context. Give it a try and let me know your thoughts: https://github.com/truefoundry/cognita