Back to Basics: Understanding Retrieval Augmented Generation (RAG)

As interest in Large Language Models (LLMs) grows, numerous developers and organizations are hard at work creating programs that take use of their potential. However, the topic of how to enhance the performance of the LLM application arises when the pre-trained LLMs do not function as anticipated or hoped for out of the box. At this stage model fine tuning or retrieval-augmented generation (RAG) to enhance the outcomes is needed. In this episode, join Nitin as he walks through what RAG is and best practices for implementation using AWS with Bedrock/FM and AWS services.
Additional Resources:
Amazon Bedrock: aws.amazon.com/bedrock/
What is RAG?: aws.amazon.com/what-is/retrie...
What are vector databases?: aws.amazon.com/what-is/vector...
Knowledge Bases for Amazon Bedrock: aws.amazon.com/bedrock/knowle...
Agents for Amazon Bedrock: aws.amazon.com/bedrock/agents/
Amazon Titan Text Embeddings models: docs.aws.amazon.com/bedrock/l...
Amazon Titan Multimodal Embeddings model: docs.aws.amazon.com/bedrock/l...
Check out more resources for architecting in the #AWS cloud:
amzn.to/3qXIsWN
#AWS #AmazonWebServices #CloudComputing #BackToBasics #GenerativeAI #AmazonBedrock

[@sanjiv2079]

Great overview of RAG and details of implementation. Thank you.

[@JavierTorres-st7gt]

How to protect a company's information with this technology?

[@suchitgupta3110]

Why transactional data is not good for RAG?

[@awssupport]

Hi there. 👋 Our scope for supporting technical queries is limited on this platform, but please reach out to our community of cloud experts on re:Post: go.aws/aws-repost. ℹ️ You can also check out these additional options for assistance: go.aws/get-help. 🔗🤝 ^RW

[@MrMilesfinn]

The animations are far too busy, and they lack sufficient highlighting.

[@awssupport]

Hello there, thanks for letting us know what's on your mind! I've sent your feedback over to our CZcams team for review. ^RM