In this session, we'll show how to build an advanced Agentic Retrieval-Augmented Generation (RAG) system using entirely open-source technologies. RAG has been the cool kid for a while now, but there is a new cool kid in the bloc, Agentic RAG! This makes it possible to empower RAG with automated decision capabilities.We will talk about the different strategies to build an Agentic RAG system using Langchain, Ollama and Milvus. You will see how your RAG system can browse the internet, correct itself by adding self-reflection or self-grading on retrieved documents, and many more.The talk will include a live demo, showcasing the end-to-end workflow and performance of the Agentic RAG system. Whether you're a seasoned developer or new to the field, this session will provide valuable insights into building sophisticated RAG systems using open-source technologies.
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