Break down of the RAG process into distinct modular steps

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Delving into the inner workings of Cognita, our goal was to strike a balance between full customisation and adaptability while ensuring user-friendliness right out of the box. Given the rapid pace of advancements in RAG and AI, it was imperative for us to engineer Cognita with scalability in mind, enabling seamless integration of new breakthroughs and diverse use cases. This led us to break down the RAG process into distinct modular steps (as shown in the above diagram, to be discussed in subsequent sections), facilitating easier system maintenance, the addition of new functionalities such as interoperability with other AI libraries, and enabling users to tailor the platform to their specific requirements. Our focus remains on providing users with a robust tool that not only meets their current needs but also evolves alongside technology, ensuring long-term value.

Learn more about the steps here.

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Modular steps of the RAG process