AWS | Community | RAG made easy using Bedrock - S03 E13

In this episode, we will explore Retreival Augmented Generation (RAG) with Suman Debnath. We will see what problem does it solve and we will dive into few demos on using RAG with Bedrock using LangChain. And we will also show a new capability of Knowledge Base called “Chat with your document”.

Check out the recording here:

Feedback:
Did you like this episode ? What are the other topics you would like us to talk about ? Let su know HERE.

Shared links:

- GitHub : https://github.com/build-on-aws/llm-rag-vectordb-python
- Knowledge Bases in Amazon Bedrock now simplifies asking questions on a single document : https://aws.amazon.com/blogs/machine-learning/knowledge-bases-in-amazon-bedrock-now-simplifies-asking-questions-on-a-single-document/?ref=dailydev
- Embeddings and Vectors Deep Dive : https://community.aws/concepts/vector-embeddings-and-rag-demystified

Reach out to the hosts:

Suman Debnath: https://www.linkedin.com/in/suman-d/
Darko: linkedin.com/in/darko-mesaros
Tiffany: linkedin.com/in/tiffanysouterre

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RAG made easy using Bedrock - S03 E13 - Build On Generative AI

Let's dive into what RAGs are and what you can do with them !

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