A retrieval architecture that routes simple queries to fast single-pass retrieval and complex or ambiguous queries to an agentic path with planning and iteration.
This episode explains that vector search on its own is not a complete or reliable strategy for building accurate AI systems like Copilot. While many organizations rely on embeddings and vector databases to retrieve information, this approach often leads to…
It requires careful planning, good data preparation and ongoing monitoring. The payoff is better recall and accuracy, lower latency than pure vector approaches, and better support for compliance and security. · From the episode: Improve Microsoft Copilot Accuracy Beyond…
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