--- title: "amazon-bedrock-samples vs generative-ai-docs" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/aws-samples-amazon-bedrock-samples-vs-google-generative-ai-docs" tools: ["aws-samples-amazon-bedrock-samples", "google-generative-ai-docs"] --- # amazon-bedrock-samples vs generative-ai-docs *GraphCanon updated Aug 22, 2026* ## Verdict Pick amazon-bedrock-samples if amazon-bedrock-samples; pick generative-ai-docs if decision-critical facts for 'generative-ai-docs'. [amazon-bedrock-samples](https://aws.amazon.com/bedrock/) reports 1.5k GitHub stars, 719 forks, and 133 open issues, last pushed Aug 21, 2026. [generative-ai-docs](https://ai.google.dev) has 2.3k stars, 736 forks, and 59 open issues, last pushed Jan 26, 2026. Figures are from public GitHub metadata via [amazon-bedrock-samples's repository](https://github.com/aws-samples/amazon-bedrock-samples) and [generative-ai-docs's repository](https://github.com/google/generative-ai-docs). | | [amazon-bedrock-samples](/tools/aws-samples-amazon-bedrock-samples.md) | [generative-ai-docs](/tools/google-generative-ai-docs.md) | | --- | --- | --- | | Tagline | Examples for using Amazon Bedrock Service including embedding and generative AI models | Deprecated documentation for Google's Generative AI tools including Gemini and related APIs | | Stars | 1,493 | 2,254 | | Forks | 719 | 736 | | Open issues | 133 | 59 | | Language | Jupyter Notebook | Jupyter Notebook | | Adopt for | amazon-bedrock-samples | Decision-critical facts for 'generative-ai-docs'. | | Persona | - | - | | Runtime | - | - | | License | Licensed under MIT-0, allowing for use and distribution without attribution but with no warranties. | The repository is licensed under Apache-2.0, allowing use and distribution with proper attribution. | | Categories | Data & Retrieval, LLM Frameworks | Data & Retrieval, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [amazon-bedrock-samples](/tools/aws-samples-amazon-bedrock-samples.md) | [generative-ai-docs](/tools/google-generative-ai-docs.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 1d | 208d | | Open issues (now) | 133 | 59 | | Stars delta | +16 (30d) | +2 (30d) | | Open issues delta | +3 (30d) | -2 (30d) | | Full report | [trust report](/tools/aws-samples-amazon-bedrock-samples/trust.md) | [trust report](/tools/google-generative-ai-docs/trust.md) | ## Decision facts: amazon-bedrock-samples - **Requirements:** Development environment must support Jupyter Notebooks to utilize the repository content effectively. - **Adopt for:** amazon-bedrock-samples - **License detail:** Licensed under MIT-0, allowing for use and distribution without attribution but with no warranties. ## Decision facts: generative-ai-docs - **Pricing:** freemium - [N/A] Since this is a documentation repository, no monetary pricing models apply; - **Adopt for:** Decision-critical facts for 'generative-ai-docs'. - **License detail:** The repository is licensed under Apache-2.0, allowing use and distribution with proper attribution. ## Choose when ### Choose amazon-bedrock-samples if… - License: amazon-bedrock-samples is MIT-0, generative-ai-docs is Apache-2.0. - Requirements: Development environment must support Jupyter Notebooks to utilize the repository content effectively.. - Tags unique to amazon-bedrock-samples: amazon-bedrock, amazon-titan, generative-ai, knowledge-base. - When you need starter code samples for interacting with Amazon Bedrock Service foundational models in Jupyter Notebooks. ### Choose generative-ai-docs if… - License: generative-ai-docs is Apache-2.0, amazon-bedrock-samples is MIT-0. - Pricing: [N/A] Since this is a documentation repository, no monetary pricing models apply;. - Tags unique to generative-ai-docs: ai, chatbot, llm, machine-learning. - Use generative-ai-docs if you are specifically seeking deprecated documentation about Google's Generative AI tools, including Gemini and chatbot development. ## When NOT to use amazon-bedrock-samples - 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. ## When NOT to use generative-ai-docs - Avoid using generative-ai-docs for current or cutting-edge implementation of Google's Generative AI tools as it contains deprecated information. - Do not rely on this documentation if you need the latest updates, improvements, or newly integrated features in Google’s AI services. ## Common questions ### What is the difference between amazon-bedrock-samples and generative-ai-docs? amazon-bedrock-samples: Examples for using Amazon Bedrock Service including embedding and generative AI models. generative-ai-docs: Deprecated documentation for Google's Generative AI tools including Gemini and related APIs. See the comparison table for live GitHub stats and shared categories. ### When should I choose amazon-bedrock-samples over generative-ai-docs? Choose amazon-bedrock-samples over generative-ai-docs when License: amazon-bedrock-samples is MIT-0, generative-ai-docs is Apache-2.0; Requirements: Development environment must support Jupyter Notebooks to utilize the repository content effectively.; Tags unique to amazon-bedrock-samples: amazon-bedrock, amazon-titan, generative-ai, knowledge-base; When you need starter code samples for interacting with Amazon Bedrock Service foundational models in Jupyter Notebooks. ### When should I choose generative-ai-docs over amazon-bedrock-samples? Choose generative-ai-docs over amazon-bedrock-samples when License: generative-ai-docs is Apache-2.0, amazon-bedrock-samples is MIT-0; Pricing: [N/A] Since this is a documentation repository, no monetary pricing models apply;; Tags unique to generative-ai-docs: ai, chatbot, llm, machine-learning; Use generative-ai-docs if you are specifically seeking deprecated documentation about Google's Generative AI tools, including Gemini and chatbot development. ### When should I avoid amazon-bedrock-samples? 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. ### When should I avoid generative-ai-docs? Avoid using generative-ai-docs for current or cutting-edge implementation of Google's Generative AI tools as it contains deprecated information. Do not rely on this documentation if you need the latest updates, improvements, or newly integrated features in Google’s AI services. ### Is amazon-bedrock-samples or generative-ai-docs more popular on GitHub? generative-ai-docs has more GitHub stars (2,254 vs 1,493). Stars measure visibility, not whether either tool fits your constraints. ### Are amazon-bedrock-samples and generative-ai-docs open source? Yes - both are open-source projects on GitHub (amazon-bedrock-samples: MIT-0, generative-ai-docs: Apache-2.0). ### Where can I find alternatives to amazon-bedrock-samples or generative-ai-docs? GraphCanon lists graph-backed alternatives at [amazon-bedrock-samples alternatives](/tools/aws-samples-amazon-bedrock-samples/alternatives) and [generative-ai-docs alternatives](/tools/google-generative-ai-docs/alternatives) ([amazon-bedrock-samples markdown twin](/tools/aws-samples-amazon-bedrock-samples/alternatives.md), [generative-ai-docs markdown twin](/tools/google-generative-ai-docs/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/aws-samples-amazon-bedrock-samples-vs-google-generative-ai-docs.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, amazon-bedrock-samples or generative-ai-docs? amazon-bedrock-samples: Very active. generative-ai-docs: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for amazon-bedrock-samples and generative-ai-docs? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [amazon-bedrock-samples trust report](/tools/aws-samples-amazon-bedrock-samples/trust); [generative-ai-docs trust report](/tools/google-generative-ai-docs/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=aws-samples-amazon-bedrock-samples`](/api/graphcanon/graph?tool=aws-samples-amazon-bedrock-samples) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_