Introduction to LangChain and Retrieval Augmented Generation (RAG)

Explore the core concepts of LangChain, an open-source framework for developing language model-powered applications, in this 30-minute introductory talk by Sophia Yang, Senior Data Scientist at Anaconda. Delve into chains, memory, tools, agents, embeddings, and vector databases while learning how to build LLM-based applications using LangChain and Panel. Discover the technique of Retrieval Augmented Generation (RAG) for answering questions using information from documents. Gain valuable insights into leveraging LangChain for creating innovative language model applications in this MLOps World: Machine Learning in Production presentation.

Introduction to LangChain and Retrieval Augmented Generation (RAG)