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YouTube

Retrieval Augmented Generation with LangChain: ChatGPT for Your Data - Part 2

MLOps World: Machine Learning in Production via YouTube

Overview

Explore the intricacies of Retrieval Augmented Generation (RAG) in this comprehensive conference talk presented by Greg Loughnane and Chris Alexiuk from AI Makerspace. Delve into the components of a simple RAG system, including vector stores, embedding models, and LLMs, and learn how they are integrated using LLM Ops infrastructure. Gain hands-on experience with LangChain tooling to embed documents using a leading embedding model, store them in a Pinecone vector database, and pass augmented prompts to Llama 2. Discover evaluation techniques and emerging best practices for optimizing RAG outputs. Access all demo code via GitHub and/or Colab to implement your own RAG system efficiently.

Syllabus

Retrieval Augmented Generation with LangChain: ChatGPT for Your Data (PT 2)

Taught by

MLOps World: Machine Learning in Production

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