"Designed well, a knowledge base ensures agents have access to up-to-date and comprehensive organizational knowledge. Ultimately, this improves the consistency, accuracy, responsiveness, and governance of agentic responses and actions.
The benefits are clear. But what actually goes into such a repository?
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A knowledge base for AI agents can hold many things: documentation, policies, style guides, sample code, workflows, compliance rules, and more. “A knowledge base for AI agents contains the full spectrum of a company’s operational reality,” says Igor Beninca, data science manager at Indicium, a data and AI services firm.
Because enterprise data varies widely, a knowledge base will combine structured, semi-structured, and unstructured data. It should span everything from static rules to dynamic chat conversations. Really, any data that could be vectorized for training AI is fair game. That said, some common content types shine through for AI agent use cases."
https://www.infoworld.com/article/4091400/anatomy-of-an-ai-agent-knowledge-base.html
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