Thain Connects the Dots Azure AI Search
摘要
This chapter expands Thain’s memory from stored history to semantic recall using Azure AI Search and Azure OpenAI embeddings. It shows how similar complaints can be retrieved by meaning rather than exact wording, then injected into the agent’s context through a semantic provider. The result is a richer feedback agent that can connect related issues across sessions and customers while keeping retrieval targeted, explainable, and useful for triage.