I Built a Document Summarizer with LangChain Quickstart Retrieval Chapter

Deep dive into the Retrieval Chain section of the LangChain Docs. We'll review this section and explain how embeddings work together with LLMs and Prompts.

The Code: https://github.com/Coding-with-Adam/Dash-by-Plotly/tree/master/LangChain/Quickstart

Retrieval Chain Quickstart chapter: https://python.langchain.com/docs/get_started/quickstart#retrieval-chain

Learn LangChain: https://charming-data.circle.so/c/langchain-education/

Video layout: 00:00 - Doc Summarizer App 04:20 - Learn AI on Charming Data
04:58 - Retrieval Chain Demo 05:55 - Add openai Key to App 06:43 - WebBaseLoader 07:40 - OpenAIEmbeddings 09:54 - Prompt 10:36 - Invoking Chain

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