From the course: Agile Practices Using AI

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Bedrock knowledge agent with RAG

Bedrock knowledge agent with RAG

From the course: Agile Practices Using AI

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Bedrock knowledge agent with RAG

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Here we have Amazon Bedrock, and I have a knowledge base setup. And what I'm doing in this knowledge base is using a vector database for retrieval, augmented generative AI. So, you can see that there's a knowledge based data source here, which is some transcripts I've uploaded from S3. These are some lectures that I've done. And I'm using the Titan Embeddings model here as part of this knowledge base. And you can see here it says Vector Engine Amazon OpenSearch Serverless. All right. So really, all I need to do here is to test it out is to first see if my vector database is working. So, let's go ahead and type in, you know "what is rust" and see what happens here. So it's going to now go ahead and do a search. Here we can see all the different times that I've mentioned rust in different transcripts. And then, what we can do next is actually use generative AI. In order to to do that, I'll select the model, right? So, I've gone through here and I've selected the Cloud 2.1 Model to help…

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