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Agentic RAG with reflection

23 April, 2025 | 7:00 PM - 8:00 PM (UTC) Coordinated Universal Time

  • Format:
  • alt##LivestreamLivestream

Topic: Agents

Language: English

Retrieval Augmented Generation (RAG) is a popular technique to get LLMs to answer questions based off your own knowledge base. "Agentic RAG" adds planning, tool use, and reflection to a RAG flow. In this session, we'll extend our most popular open-source RAG solution with a reflection step, prompting the LLM to realize whether it needs to repeat the retrieval in order to improve the answer quality.

Prerequisites

Speakers

  • Matt Gotteiner

    • Senior Program Manager

    Microsoft

  • Pamela Fox

    • Principal Cloud Advocate in Python

    Microsoft

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