---
title: "AI-For-Beginners vs raft"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/microsoft-ai-for-beginners-vs-nvidia-raft"
tools: ["microsoft-ai-for-beginners", "nvidia-raft"]
---

# AI-For-Beginners vs raft

*GraphCanon updated Jul 11, 2026*

## Verdict

Pick AI-For-Beginners when aI-For-Beginners is primarily Jupyter Notebook; raft is Cuda; pick raft when raft is primarily Cuda; AI-For-Beginners is Jupyter Notebook.

[AI-For-Beginners](https://github.com/microsoft/AI-For-Beginners) reports 52k GitHub stars, 11k forks, and 4 open issues, last pushed Jul 8, 2026. [raft](https://docs.rapids.ai/api/raft/stable/) has 1.0k stars, 240 forks, and 448 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [AI-For-Beginners's repository](https://github.com/microsoft/AI-For-Beginners) and [raft's repository](https://github.com/NVIDIA/raft).

| | [AI-For-Beginners](/tools/microsoft-ai-for-beginners.md) | [raft](/tools/nvidia-raft.md) |
| --- | --- | --- |
| Tagline | 12 Weeks, 24 Lessons, AI for All! | RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing hig |
| Stars | 52,098 | 1,026 |
| Forks | 10,536 | 240 |
| Open issues | 4 | 448 |
| Language | Jupyter Notebook | Cuda |
| Adopt for | - | - |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | Apache-2.0 |
| Categories | Model Training, Vector Databases, Computer Vision | LLM Frameworks, Data & Retrieval, Vector Databases |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [AI-For-Beginners](/tools/microsoft-ai-for-beginners.md) | [raft](/tools/nvidia-raft.md) |
| --- | --- | --- |
| Days since push | 2d | 0d |
| Open issues (now) | 4 | 448 |
| Security scan | 3 low (3 low) | No lockfile |
| Full report | [trust report](/tools/microsoft-ai-for-beginners/trust.md) | [trust report](/tools/nvidia-raft/trust.md) |

## Choose when

### Choose AI-For-Beginners if…

- AI-For-Beginners is primarily Jupyter Notebook; raft is Cuda.
- License: AI-For-Beginners is MIT, raft is Apache-2.0.
- Tags unique to AI-For-Beginners: deep-learning, microsoft-for-beginners, ai, artificial-intelligence.
- Also covers Model Training, Computer Vision.

### Choose raft if…

- raft is primarily Cuda; AI-For-Beginners is Jupyter Notebook.
- License: raft is Apache-2.0, AI-For-Beginners is MIT.
- Tags unique to raft: clustering, anns, gpu, building-blocks.
- Also covers LLM Frameworks, Data & Retrieval.

## When NOT to use AI-For-Beginners

- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.

## When NOT to use raft

- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.

## Common questions

### What is the difference between AI-For-Beginners and raft?

AI-For-Beginners: 12 Weeks, 24 Lessons, AI for All!. raft: RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing hig. See the comparison table for live GitHub stats and shared categories.

### When should I choose AI-For-Beginners over raft?

Choose AI-For-Beginners over raft when AI-For-Beginners is primarily Jupyter Notebook; raft is Cuda; License: AI-For-Beginners is MIT, raft is Apache-2.0; Tags unique to AI-For-Beginners: deep-learning, microsoft-for-beginners, ai, artificial-intelligence; Also covers Model Training, Computer Vision.

### When should I choose raft over AI-For-Beginners?

Choose raft over AI-For-Beginners when raft is primarily Cuda; AI-For-Beginners is Jupyter Notebook; License: raft is Apache-2.0, AI-For-Beginners is MIT; Tags unique to raft: clustering, anns, gpu, building-blocks; Also covers LLM Frameworks, Data & Retrieval.

### When should I avoid AI-For-Beginners?

Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. 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 raft?

LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.

### Is AI-For-Beginners or raft more popular on GitHub?

AI-For-Beginners has more GitHub stars (52,098 vs 1,026). Stars measure visibility, not whether either tool fits your constraints.

### Are AI-For-Beginners and raft open source?

Yes - both are open-source projects on GitHub (AI-For-Beginners: MIT, raft: Apache-2.0).

### Where can I find alternatives to AI-For-Beginners or raft?

GraphCanon lists graph-backed alternatives at [AI-For-Beginners alternatives](/tools/microsoft-ai-for-beginners/alternatives) and [raft alternatives](/tools/nvidia-raft/alternatives) ([AI-For-Beginners markdown twin](/tools/microsoft-ai-for-beginners/alternatives.md), [raft markdown twin](/tools/nvidia-raft/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/microsoft-ai-for-beginners-vs-nvidia-raft.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, AI-For-Beginners or raft?

AI-For-Beginners: Very active. raft: 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 AI-For-Beginners and raft?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [AI-For-Beginners trust report](/tools/microsoft-ai-for-beginners/trust); [raft trust report](/tools/nvidia-raft/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=microsoft-ai-for-beginners`](/api/graphcanon/graph?tool=microsoft-ai-for-beginners)
- 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/_