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To restrict the GenAI application responses to company data only, we need to use a technique called Retrieval Augmented Generation (RAG). In our previous video , we implemented RAG using AWS & PineCone.
In this video , we are going to use power of Amazon Kendra & LangChain to build RAG for high-accuracy Gen-AI applications.
Prerequisite:
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Complete Amazon Bedrock In 2.5 Hours | Learn Generative AI on AWS with Python!
• Complete Amazon Bedroc...
Code:
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github.com/SatadruMukherjee/D...
Documentation Link:
==================
aws.amazon.com/blogs/machine-...
api.python.langchain.com/en/l...
python.langchain.com/docs/int...
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