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E.37 | Prompt Engineering using LangChain πŸ¦œοΈπŸ”— | RAG QnA Chains | Ch.9 3/3
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Prompt Engineering - E.37 | Prompt Engineering using LangChain πŸ¦œοΈπŸ”— | RAG QnA Chains | Ch.9 3/3

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  • 6 hours of video
  • Certificate of completion
  • Access on mobile and TV

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In this video, we will write the codes for the third step of building an open QnA system, generating answers based on the provided documents. Join us to learn all about developing Questioning and Answering and Retrieval Augmented Generation (RAG) apps using LLMs and LangChain Notebook: https://colab.research.google.com/drive/1mHTius2J-xi_P_3U9d82gfPp7SpQF5fV?usp=sharing You will learn about: - QnA Stuff Chain - QnA MapReduce Chain - QnA Refine Chain

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