Deploying Enterprise Knowledge To Voice Agents

Shows when to inject a knowledge base into context versus use retrieval, with a worked token-size example, and how to prepare and refresh documents. Helps avoid ungrounded answers from voice agents.

• context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
• RAG — Retrieval-augmented generation — fetching relevant documents first and pasting them into the model's context so it answers from your data instead of memory.
• token — The chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.

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