This video shows you how to implement a fully managed RAG deployment on Amazon Bedrock using Anthropic Claude models and AWS Python SDKs ▬▬▬▬▬▬ Connect with me 🔗 ▬▬▬▬▬▬ LINKEDIN ► / trevspires TWITTER ► / trevspires
Awesome video, Trevor. Thank you! What tools and architecture would you recommend if I wanted to build a RAG app like this but for multiple users and I needed to keep their documents separate and private during retrieval? Thanks again! (Subscribed)
Check out Amazon Q!! It has some good RBAC capabilities built in top of IAM. You could also explore using "Metadata Filters" for RBAC within RAG. This workshop has some good content here for it - catalog.workshops.aws/persona-based-access-genai-application/en-US/01-introduction
I have an application that stores specific documents by folder identified by a unique ID, then I process them with Textract and save the information in another S3 following the same hierarchy. Can I create a chatbot that uses the information from a specific document during the user's session?
@@trevspiresI create the context with the information from a specific document, in this case documents with information about sales quotes, and I create the chatbot with that context, so that the user can get the information they need from the document without having to read it completely
Okay, but I thought you were going to show the step by step for the connection. And I didn't find a series of videos or the following video where it is explained. By any chance, does this exist? or was this intro nothing more? Thankssss
