About the session
RAG systems are talked about in detail, but usually stick to the basics. In this talk, Stephen will show you how to build an Agentic RAG System using Langchain and Milvus.
Topics Covered:
– How to make agents leverage planning, memory, and tools to accomplish a variety of tasks.
– How to empower an LLM to perform web searches and call custom user-defined functions.
– Common issues like hallucinations and how to add fallback and self-correction mechanisms so your agent can try to fix itself.
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