GH Repository · aws-samples
amazon-bedrock-samples
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
- stars
- 1,506
- 30-day movement
- +10/day
- Related entries
- 60
- Connections
- 1
Jupyter Notebookamazon-titanlangchainragembeddingsbedrockknowledge-basegenerative-aiamazon-bedrock
A collection of Jupyter Notebook examples for getting started with the Amazon Bedrock service, covering all available foundation models. The topics and role tags indicate a focus on RAG, embeddings, knowledge bases, Amazon Titan, and LangChain usage.
You want runnable, MIT-licensed notebook examples showing how to call Amazon Bedrock models and build RAG workflows against them.
Use it to
- Explore examples for each available Bedrock foundation model
- Build RAG pipelines with Bedrock knowledge bases
- Work with Amazon Titan embeddings
- Integrate Bedrock with LangChain
- Copy notebook patterns as a starting point for your own apps
For Developers getting started with Amazon Bedrock
- Role
- rag
- Language
- Jupyter Notebook
- Licence
- MIT-0
- Forks
- 737
- Open issues
- 43
- Last push
- 2026-08-29
topicsamazon-bedrockragembeddingsgenerative-aiknowledge-baselangchain