Generative AI Serverless - RAG using Bedrock Knowledge base, Zero Setup, Single doc, Lambda and API

In this video, I am going to show you how to build a serverless GenAI RAG solution to implement a single document knowledge base using Amazon Bedrock, Lambda and API.
'Chat with your document' is the latest Generative AI feature added by Amazon to its already feature-rich areas of GenAI, Knowledge Base, and RAG
RAG, which stands for Retrieval Augmented Generation, is becoming increasingly popular in the world of Generative AI. It allows organizations to overcome the limitations of LLMs and utilize contextual data for their Generative AI solutions.
Amazon Bedrock is a fully managed service that offers a choice of many foundation models, such as Anthropic Claude, AI21 Jurassic-2, Stability AI, Amazon Titan, and others.
I will use the recently released Anthropic Sonnet foundation model and invoke it via the Amazon Bedrock using Lambda and API. As of May 2024, this is the only model supported by AWS for the single document knowledge base or 'Chat with your document' function.
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