By linking AI to a searchable database of your own documents and knowledge, you give it access to the specific context it needs to make decisions and suggestions that reflect your actual situation. This keeps AI recommendations grounded in your reality rather than generic best practices.
Retrieval-Augmented Generation (RAG) is a technique where AI pulls relevant information from your own stored documents, notes, or files before generating a response, rather than relying solely on its training data.
For productivity, this means your AI assistant can search through your meeting notes, project files, and personal documents to give you answers grounded in your actual work context, eliminating the need to manually dig through scattered information.
Peri can explain this concept, give practical examples, help you decide whether it applies to your situation, or recommend a journey if appropriate.
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