Learning Notebook - David Rostcheck
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Understand the code of the knowledge base demo, which uses CDK to define a Kendra search engine and a crawler for a specified customer website, then a lambda to start the crawler. Understand the knowledge base Q&A module, which builds a docker container of Python code that uses Langchain to coordinate the Q&A: performing Kendra searches for context, then asking an LLM to answer questions based on the context (prompt), and including past conversation in the prompt for memory. Further uses CDK to deploy, and Python code uses Streamlit to provide an interface.
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