Improve your Generative AI Application with RAG

Let’s break down the complexities of generative AI with this easy-to-understand back to basics introduction. In this video, Mike and Tiffany explain the fundamental principles of RAG to avoid hallucinations from your LLM applications.
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[@YUVRAJVAGHELA-zi6dj]

Very insightful, Thank you for the explanation.

[@LiebsterFeind]

Summary: Embed your text or documents in a vector database, create an embed representation of the query, pre-filter the content fed to the LLM in prompt by doing an N-best vector database query first.
Excellent video, more like these please. Do some Node.js ones, don't be a Python elitist! (kidding).

[@JoshCrosby1234]

what does the 1536 represent, where did you get that?

[@andreseungyeobsong4899]

I have a question!(And I'm a newby to AI stuff. I'm very sorry) I'm currently using Lambda. If I put in lots of lots of information in S3 bucket, how long does it take to vectorize the stuff in S3 bucket and put it into the memory? (Because she mentioned that she put in the AWS documentation to S3 bucket, and I think that should be a pretty hefty amount of data!)

[@mikegchambers]

Hey! You might have guessed this, but the amount of time will depend on the amount of data you have. When the knowledge base is finished being created, the Status of the knowledge base changes to Ready. But I should mention... you said "vectorize the stuff in S3 bucket and put it into the memory"... just to be clear knowledge base puts the data in to a vector database for you and you have some options there. You then perform queries on that data, and or use a RAG architecture. You can call that from a Lambda function if you like.

[@Vinay-bt8ug]

Hey I am a newbie here
Trying to develop a Chatbot with the data that we have sql db. What’s the best approach here !
Thanks

[@awssupport]

Hi there! 👋 Our scope for tech assistance is limited on this platform, but you can reach out to our awesome community of industry gurus here: go.aws/aws-repost. 🤓 Check out the other channels on this page if you still need further assistance: go.aws/get-help. ℹ️ ^RW