--- title: "ai-notes vs what_are_embeddings" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/swyxio-ai-notes-vs-veekaybee-what-are-embeddings" tools: ["swyxio-ai-notes", "veekaybee-what-are-embeddings"] --- # ai-notes vs what_are_embeddings *GraphCanon updated Aug 22, 2026* ## Verdict Pick ai-notes if ai-notes offers curated resources centered around recent AI advancements for software engineers, particularly in GPT models and multimodal applications; pick what_are_embeddings if focuses on educational materials for understanding embeddings in ML and NLP using Jupyter Notebooks. [ai-notes](https://latent.space/) reports 6.2k GitHub stars, 560 forks, and 9 open issues, last pushed Feb 16, 2026. [what_are_embeddings](http://vickiboykis.com/what_are_embeddings/) has 1.1k stars, 86 forks, and 0 open issues, last pushed Jan 17, 2026. Figures are from public GitHub metadata via [ai-notes's repository](https://github.com/swyxio/ai-notes) and [what_are_embeddings's repository](https://github.com/veekaybee/what_are_embeddings). | | [ai-notes](/tools/swyxio-ai-notes.md) | [what_are_embeddings](/tools/veekaybee-what-are-embeddings.md) | | --- | --- | --- | | Tagline | Notes for software engineers on recent AI developments | A deep dive into embeddings starting from fundamentals | | Stars | 6,243 | 1,096 | | Forks | 560 | 86 | | Open issues | 9 | 0 | | Language | HTML | Jupyter Notebook | | Adopt for | ai-notes offers curated resources centered around recent AI advancements for software engineers, particularly in GPT models and multimodal applications. | Focuses on educational materials for understanding embeddings in ML and NLP using Jupyter Notebooks. | | Persona | - | - | | Runtime | - | - | | License | The MIT License grants permission to use the tool freely under certain conditions, typically including attribution and non-liability terms. | - | | Categories | Data & Retrieval, Developer Tools | Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ai-notes](/tools/swyxio-ai-notes.md) | [what_are_embeddings](/tools/veekaybee-what-are-embeddings.md) | | --- | --- | --- | | Days since push | 161d | 217d | | Open issues (now) | 9 | 0 | | Stars delta | Unknown | +4 (30d) | | Open issues delta | Unknown | 0 (30d) | | Full report | [trust report](/tools/swyxio-ai-notes/trust.md) | [trust report](/tools/veekaybee-what-are-embeddings/trust.md) | ## Decision facts: ai-notes - **Adopt for:** ai-notes offers curated resources centered around recent AI advancements for software engineers, particularly in GPT models and multimodal applications. - **License detail:** The MIT License grants permission to use the tool freely under certain conditions, typically including attribution and non-liability terms. ## Decision facts: what_are_embeddings - **Adopt for:** Focuses on educational materials for understanding embeddings in ML and NLP using Jupyter Notebooks. ## Choose when ### Choose ai-notes if… - ai-notes is primarily HTML; what_are_embeddings is Jupyter Notebook. - Tags unique to ai-notes: ai, gpt, multimodal, openai. - Also covers Developer Tools. - You are working on projects involving GPT models or multimodal applications and require the latest insights from Latent.Space content creation efforts. ### Choose what_are_embeddings if… - what_are_embeddings is primarily Jupyter Notebook; ai-notes is HTML. - Tags unique to what_are_embeddings: embeddings, machine-learning-algorithms, nlp-machine-learning. - When you are looking to gain foundational knowledge about how embeddings work in machine learning and natural language processing tasks. ## When NOT to use ai-notes - The focus of your project lies beyond GPT models or multimodal applications as ai-notes does not delve into non-GPT AI advancements. - You are in search of comprehensive tutorials on all major AI frameworks, since ai-notes is primarily centered around specific topics under Latent.Space. ## When NOT to use what_are_embeddings - If you need practical, real-world application examples or code implementations not grounded in explanatory educational content. - When an advanced understanding of embeddings is required as this repository prioritizes fundamental comprehension over deep technical insights. ## Common questions ### What is the difference between ai-notes and what_are_embeddings? ai-notes: Notes for software engineers on recent AI developments. what_are_embeddings: A deep dive into embeddings starting from fundamentals. See the comparison table for live GitHub stats and shared categories. ### When should I choose ai-notes over what_are_embeddings? Choose ai-notes over what_are_embeddings when ai-notes is primarily HTML; what_are_embeddings is Jupyter Notebook; Tags unique to ai-notes: ai, gpt, multimodal, openai; Also covers Developer Tools; You are working on projects involving GPT models or multimodal applications and require the latest insights from Latent.Space content creation efforts. ### When should I choose what_are_embeddings over ai-notes? Choose what_are_embeddings over ai-notes when what_are_embeddings is primarily Jupyter Notebook; ai-notes is HTML; Tags unique to what_are_embeddings: embeddings, machine-learning-algorithms, nlp-machine-learning; When you are looking to gain foundational knowledge about how embeddings work in machine learning and natural language processing tasks. ### When should I avoid ai-notes? The focus of your project lies beyond GPT models or multimodal applications as ai-notes does not delve into non-GPT AI advancements. You are in search of comprehensive tutorials on all major AI frameworks, since ai-notes is primarily centered around specific topics under Latent.Space. ### When should I avoid what_are_embeddings? If you need practical, real-world application examples or code implementations not grounded in explanatory educational content. When an advanced understanding of embeddings is required as this repository prioritizes fundamental comprehension over deep technical insights. ### Is ai-notes or what_are_embeddings more popular on GitHub? ai-notes has more GitHub stars (6,243 vs 1,096). Stars measure visibility, not whether either tool fits your constraints. ### Are ai-notes and what_are_embeddings open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to ai-notes or what_are_embeddings? GraphCanon lists graph-backed alternatives at [ai-notes alternatives](/tools/swyxio-ai-notes/alternatives) and [what_are_embeddings alternatives](/tools/veekaybee-what-are-embeddings/alternatives) ([ai-notes markdown twin](/tools/swyxio-ai-notes/alternatives.md), [what_are_embeddings markdown twin](/tools/veekaybee-what-are-embeddings/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/swyxio-ai-notes-vs-veekaybee-what-are-embeddings.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ai-notes or what_are_embeddings? ai-notes: Slowing. what_are_embeddings: 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 ai-notes and what_are_embeddings? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ai-notes trust report](/tools/swyxio-ai-notes/trust); [what_are_embeddings trust report](/tools/veekaybee-what-are-embeddings/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=swyxio-ai-notes`](/api/graphcanon/graph?tool=swyxio-ai-notes) - 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/_