Using RAG, we can get into some really interesting use cases. It stands for Retrieval Augmented Generation and it simply means AI is retrieving data from a source you provide, to generate the output you’re asking for. For example, you can add a doc (or multiple docs) and ask AI to summarize, deliver insights, and more. The other helpful feature with RAG is when you connect it to your company’s storage tool (Google Drive, etc), you can run queries against any of the docs available to you. Need to create a summary of this quarter’s results for the board? Ask any of Kindo’s AI models to provide you with bullet points from the applicable docs.