Agentic RAG with Langchain
Details
RAG (Retrieval Augmented Generation) is the most common approach used to get LLMs to answer questions grounded in a particular domain's data. Learn how to use Langchain, the most popular Python package for LLM orchestration, to build a RAG application with Python and Azure OpenAI. Discover how to use agentic flows in Langchain to build more complex RAG workflows.
Presented by Marlene Mhangami, Developer Advocate for Python
** Part of RAGHack, a free global hackathon to develop RAG applications. Join at https://aka.ms/raghack **
📌 Check out the RAGHack 2024 series here!
Pre-requisites:
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Read the official rules and join the hack at https://aka.ms/raghack. No Purchase Necessary. Must be 18+ to enter. Contest ends 9/16/24.
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Want more hands-on RAG training? Visit the Reactor series home page to see all the RAGHack 2024 sessions!
