How RAG Is Powering the Future of AI Agents
Farzad Sunavala, Principal Product Manager at Microsoft, discusses Retrieval-Augmented Generation (RAG) in AI agents, addressing limitations and practical insights for building effective AI solutions. Key takeaways include the importance of metadata, memory embedding, evolving AI engineering practices, and starting small to iterate smart. Resources mentioned include Azure AI Search, Microsoft Fabric, Semantic Kernel, LangChain, LlamaIndex, and CrewAI. Additionally, a new show, The AI Advantage, is being added to the lineup. No promotional content included.
Podcast 6m
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