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Retrieval-Augmented Generation with LangChain, Amazon SageMaker JumpStart, and MongoDB Atlas semantic search

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MongoDB Atlas Vector Search uses a technique called k-nearest neighbors (k-NN) to search for similar vectors. k-NN works by finding the k most similar vectors to a given vector. Specify the AWS Lambda function that will interact with MongoDB Atlas and the LLM to provide responses.

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Talk to your slide deck using multimodal foundation models hosted on Amazon Bedrock and Amazon SageMaker – Part 2

AWS Machine Learning Blog

We used AWS services including Amazon Bedrock , Amazon SageMaker , and Amazon OpenSearch Serverless in this solution. In this series, we use the slide deck Train and deploy Stable Diffusion using AWS Trainium & AWS Inferentia from the AWS Summit in Toronto, June 2023 to demonstrate the solution.

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Talk to your slide deck using multimodal foundation models on Amazon Bedrock – Part 3

AWS Machine Learning Blog

Part 1 uses AWS services including Amazon Bedrock , Amazon SageMaker , and Amazon OpenSearch Serverless. We performed a k-nearest neighbor (k-NN) search to retrieve the most relevant embedding matching the question. You can do this by deleting the stacks using the AWS CloudFormation console.

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