Comparison
amazon-bedrock-samples vs llm-app
Verdict
Pick amazon-bedrock-samples when license: amazon-bedrock-samples is MIT-0, llm-app is MIT; pick llm-app when license: llm-app is MIT, amazon-bedrock-samples is MIT-0.
Markdown twin · amazon-bedrock-samples alternatives · llm-app alternatives
GraphCanon updated today
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Trust & integrity
| Signal | amazon-bedrock-samples | llm-app |
|---|---|---|
| Maintenance | Active (11d since push) As of today · github_public_v1 | Very active (5d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- 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
- llm-app
- Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data.
Stars
- amazon-bedrock-samples
- 1.5k
- llm-app
- 59k
Forks
- amazon-bedrock-samples
- 701
- llm-app
- 1.4k
Open issues
- amazon-bedrock-samples
- 130
- llm-app
- 10
Language
- amazon-bedrock-samples
- Jupyter Notebook
- llm-app
- Jupyter Notebook
Adopt for
- amazon-bedrock-samples
- -
- llm-app
- llm-app offers pre-configured cloud deployment templates designed specifically for creating AI-driven applications such as chatbots and machine learning projects leveraging Hugging Face models. It supports direct integrz
Persona
- amazon-bedrock-samples
- -
- llm-app
- -
Runtime
- amazon-bedrock-samples
- -
- llm-app
- -
License
- amazon-bedrock-samples
- MIT-0
- llm-app
- MIT
Last pushed
- amazon-bedrock-samples
- Jun 30, 2026
- llm-app
- Jul 5, 2026
Categories
- amazon-bedrock-samples
- LLM Frameworks, Vector Databases
- llm-app
- Vector Databases, Data & Retrieval, LLM Frameworks
Trust and health
Maintenance
- amazon-bedrock-samples
- Active (82%)
- llm-app
- Very active (96%)
Days since push
- amazon-bedrock-samples
- 11d
- llm-app
- 5d
Open issues (now)
- amazon-bedrock-samples
- 130
- llm-app
- 10
Full report
- amazon-bedrock-samples
- Trust report
- llm-app
- Trust report
Choose amazon-bedrock-samples if…
- License: amazon-bedrock-samples is MIT-0, llm-app is MIT.
- Tags unique to amazon-bedrock-samples: embeddings, amazon-bedrock, amazon-titan, rag.
When NOT to use amazon-bedrock-samples
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
Choose llm-app if…
- License: llm-app is MIT, amazon-bedrock-samples is MIT-0.
- Requirements: Requires Docker; The tool is Docker-friendly and designed to ensure synchronization with cloud-based storage solutions among others..
- Tags unique to llm-app: vector-database, llm, hugging-face, retrieval-augmented-generation.
- Also covers Data & Retrieval.
- - You need a ready-to-run solution that directly integrates with various data sources like Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and live APIs.
When NOT to use llm-app
- - You require custom deployment configurations that extend beyond the pre-set cloud templates available through llm-app.
- - There’s a need for tightly integrated support with data sources or APIs not explicitly mentioned, such as specialized CRM systems (Salesforce), which may lack direct template support in llm-app.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (aws-samples/amazon-bedrock-samples) · observed Jul 11, 2026
- GitHub forks (aws-samples/amazon-bedrock-samples) · observed Jul 11, 2026
- Last push (aws-samples/amazon-bedrock-samples) · observed Jun 30, 2026
- License file (MIT-0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (pathwaycom/llm-app) · observed Jul 11, 2026
- GitHub forks (pathwaycom/llm-app) · observed Jul 11, 2026
- Last push (pathwaycom/llm-app) · observed Jul 5, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: amazon-bedrock-samples 1.5k · llm-app 59k (synced Jul 11, 2026).
Common questions
- What is the difference between amazon-bedrock-samples and llm-app?
- 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. llm-app: Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data.. See the comparison table for live GitHub stats and shared categories.
- When should I choose amazon-bedrock-samples over llm-app?
- Choose amazon-bedrock-samples over llm-app when License: amazon-bedrock-samples is MIT-0, llm-app is MIT; Tags unique to amazon-bedrock-samples: embeddings, amazon-bedrock, amazon-titan, rag.
- When should I choose llm-app over amazon-bedrock-samples?
- Choose llm-app over amazon-bedrock-samples when License: llm-app is MIT, amazon-bedrock-samples is MIT-0; Requirements: Requires Docker; The tool is Docker-friendly and designed to ensure synchronization with cloud-based storage solutions among others.; Tags unique to llm-app: vector-database, llm, hugging-face, retrieval-augmented-generation; Also covers Data & Retrieval; - You need a ready-to-run solution that directly integrates with various data sources like Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and live APIs.
- When should I avoid amazon-bedrock-samples?
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- When should I avoid llm-app?
- - You require custom deployment configurations that extend beyond the pre-set cloud templates available through llm-app. - There’s a need for tightly integrated support with data sources or APIs not explicitly mentioned, such as specialized CRM systems (Salesforce), which may lack direct template support in llm-app.
- Is amazon-bedrock-samples or llm-app more popular on GitHub?
- llm-app has more GitHub stars (59,068 vs 1,470). Stars measure visibility, not whether either tool fits your constraints.
- Are amazon-bedrock-samples and llm-app open source?
- Yes - both are open-source projects on GitHub (amazon-bedrock-samples: MIT-0, llm-app: MIT).
- Where can I find alternatives to amazon-bedrock-samples or llm-app?
- GraphCanon lists graph-backed alternatives at amazon-bedrock-samples alternatives and llm-app alternatives (amazon-bedrock-samples markdown twin, llm-app markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, amazon-bedrock-samples or llm-app?
- amazon-bedrock-samples: Active. llm-app: Very active. 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 llm-app?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: amazon-bedrock-samples trust report; llm-app trust report.