{"data":{"slug":"aws-samples-amazon-bedrock-samples","name":"amazon-bedrock-samples","tagline":"Examples for using Amazon Bedrock Service including embedding and generative AI models","github_url":"https://github.com/aws-samples/amazon-bedrock-samples","owner":"aws-samples","repo":"amazon-bedrock-samples","owner_avatar_url":"https://avatars.githubusercontent.com/u/8931462?v=4","primary_language":"Jupyter Notebook","stars":1493,"forks":719,"topics":["amazon-bedrock","amazon-titan","bedrock","embeddings","generative-ai","knowledge-base","langchain","rag"],"archived":false,"github_pushed_at":"2026-08-21T11:19:54+00:00","maintenance_label":"Very active","stars_delta_30d":16,"url":"https://www.graphcanon.com/tools/aws-samples-amazon-bedrock-samples","markdown_url":"https://www.graphcanon.com/tools/aws-samples-amazon-bedrock-samples.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/aws-samples-amazon-bedrock-samples","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=aws-samples-amazon-bedrock-samples","description":"This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models","homepage_url":"https://aws.amazon.com/bedrock/","license":"MIT-0","open_issues":133,"watchers":29,"ai_summary":"Provides starter code in Jupyter Notebook format for interacting with various foundational models offered by the Amazon Bedrock Service","readme_excerpt":"## Getting Started\n\nTo get started with the code examples, ensure you have access to [Amazon Bedrock](https://aws.amazon.com/bedrock/). Then clone this repo and navigate to one of the folders above. Detailed instructions are provided in each folder's README.\n\n---\n\n## License\n\nThis library is licensed under the MIT-0 License. See the [LICENSE](LICENSE) file.","github_created_at":"2023-07-05T18:23:34+00:00","created_at":"2026-07-11T11:30:36.379445+00:00","updated_at":"2026-08-22T12:01:11.637255+00:00","categories":[{"slug":"data-retrieval","name":"Data & Retrieval","url":"https://www.graphcanon.com/categories/data-retrieval","markdown_url":"https://www.graphcanon.com/categories/data-retrieval.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/data-retrieval"},{"slug":"llm-frameworks","name":"LLM Frameworks","url":"https://www.graphcanon.com/categories/llm-frameworks","markdown_url":"https://www.graphcanon.com/categories/llm-frameworks.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/llm-frameworks"}],"tags":[{"slug":"amazon-bedrock","name":"amazon-bedrock"},{"slug":"amazon-titan","name":"amazon-titan"},{"slug":"embeddings","name":"embeddings"},{"slug":"generative-ai","name":"generative-ai"},{"slug":"knowledge-base","name":"knowledge-base"},{"slug":"langchain","name":"langchain"},{"slug":"rag","name":"rag"}],"trust":{"provenance":{"is_fork":false,"github_id":662717361,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-08-22T12:01:10.898Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":0,"days_since_push":1,"last_release_at":null,"stars_delta_30d":16,"open_issues_delta_30d":3},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T11:30:37.614Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-08-22T12:01:11.359Z"},"languages":{"value":["jupyter notebook"],"source":"github.language","observed_at":"2026-08-22T12:01:11.359Z"},"license_spdx":{"value":"MIT-0","source":"github.license","observed_at":"2026-08-22T12:01:11.359Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":{"notes":["Development environment must support Jupyter Notebooks to utilize the repository content effectively."],"requires_docker":false},"constraints":{"requires_docker":false},"when_to_use":["When you need starter code samples for interacting with Amazon Bedrock Service foundational models in Jupyter Notebooks.","If your project aims to work specifically with embedding and generative AI models provided by the Amazon Bedrock Service.","For developers who wish to leverage pre-coded examples tailored to the AWS ecosystem for building AI solutions."],"when_not_to_use":["If you are looking for samples or frameworks not hosted in Jupyter Notebook format, as this may require manual conversion or scripting.","When your project's requirements do not include using Amazon Bedrock Service models, favoring other cloud service providers' foundational models instead.","For scenarios involving proprietary or closed-source AI model integrations incompatible with the MIT-0 license under which these samples are available."],"source":"enrich:decision_facts","observed_at":"2026-07-14T21:41:50.405Z"},"constraint_facets":{"requires_docker":false},"decision_summary":[{"label":"Requirements","value":"Development environment must support Jupyter Notebooks to utilize the repository content effectively."},{"label":"Adopt for","value":"amazon-bedrock-samples"},{"label":"License detail","value":"Licensed under MIT-0, allowing for use and distribution without attribution but with no warranties."}]}}