--- title: "awesome-LLM-resources vs weaviate-examples" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/wangrongsheng-awesome-llm-resources-vs-weaviate-weaviate-examples" tools: ["wangrongsheng-awesome-llm-resources", "weaviate-weaviate-examples"] --- # awesome-LLM-resources vs weaviate-examples *GraphCanon updated Jul 12, 2026* ## Verdict Pick awesome-LLM-resources when license: awesome-LLM-resources is Apache-2.0, weaviate-examples is MIT; pick weaviate-examples when license: weaviate-examples is MIT, awesome-LLM-resources is Apache-2.0. [awesome-LLM-resources](https://github.com/WangRongsheng/awesome-LLM-resources) reports 8.7k GitHub stars, 924 forks, and 39 open issues, last pushed Jul 10, 2026. [weaviate-examples](https://github.com/weaviate/weaviate-examples) has 332 stars, 86 forks, and 12 open issues, last pushed Aug 7, 2025. Figures are from public GitHub metadata via [awesome-LLM-resources's repository](https://github.com/WangRongsheng/awesome-LLM-resources) and [weaviate-examples's repository](https://github.com/weaviate/weaviate-examples). | | [awesome-LLM-resources](/tools/wangrongsheng-awesome-llm-resources.md) | [weaviate-examples](/tools/weaviate-weaviate-examples.md) | | --- | --- | --- | | Tagline | Summary of the world's best LLM resources. | Weaviate vector database – examples | | Stars | 8,668 | 332 | | Forks | 924 | 86 | | Open issues | 39 | 12 | | Language | - | HTML | | Adopt for | awesome-LLM-resources offers a curated and comprehensive list of resources related to Large Language Models (LLMs), including materials for specialized areas like RAG (Retrieval-Augmented Generation) and agentic RL, as a | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | AI Agents, Developer Tools, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training | Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-LLM-resources](/tools/wangrongsheng-awesome-llm-resources.md) | [weaviate-examples](/tools/weaviate-weaviate-examples.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 1d | 337d | | Open issues (now) | 39 | 12 | | Owner type | User | Organization | | Full report | [trust report](/tools/wangrongsheng-awesome-llm-resources/trust.md) | [trust report](/tools/weaviate-weaviate-examples/trust.md) | ## Decision facts: awesome-LLM-resources - **Adopt for:** awesome-LLM-resources offers a curated and comprehensive list of resources related to Large Language Models (LLMs), including materials for specialized areas like RAG (Retrieval-Augmented Generation) and agentic RL, as a ## Choose when ### Choose awesome-LLM-resources if… - License: awesome-LLM-resources is Apache-2.0, weaviate-examples is MIT. - Tags unique to awesome-LLM-resources: awesome-list, book, course, large-language-models. - Also covers AI Agents, Developer Tools, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training. - - It's ideal when you seek an exhaustive and up-to-date compilation covering extensive knowledge points in LLM technologies. ### Choose weaviate-examples if… - License: weaviate-examples is MIT, awesome-LLM-resources is Apache-2.0. - Tags unique to weaviate-examples: deep-learning, examples, html, vector-database. - Also covers Vector Databases. ## When NOT to use awesome-LLM-resources - - Avoid using this resource if you specifically need detailed step-by-step guides or hands-on tutorials that focus deeply on a single technology rather than broad coverage. - - It might not be the best choice when you are looking for resources in languages other than English, especially given its extensive English content. ## When NOT to use weaviate-examples - Last GitHub push was 338 days ago (slowing maintenance, Aug 7, 2025). Validate activity before betting a new project on weaviate-examples. - 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 awesome-LLM-resources and weaviate-examples? awesome-LLM-resources: Summary of the world's best LLM resources.. weaviate-examples: Weaviate vector database – examples. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-LLM-resources over weaviate-examples? Choose awesome-LLM-resources over weaviate-examples when License: awesome-LLM-resources is Apache-2.0, weaviate-examples is MIT; Tags unique to awesome-LLM-resources: awesome-list, book, course, large-language-models; Also covers AI Agents, Developer Tools, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training; - It's ideal when you seek an exhaustive and up-to-date compilation covering extensive knowledge points in LLM technologies. ### When should I choose weaviate-examples over awesome-LLM-resources? Choose weaviate-examples over awesome-LLM-resources when License: weaviate-examples is MIT, awesome-LLM-resources is Apache-2.0; Tags unique to weaviate-examples: deep-learning, examples, html, vector-database; Also covers Vector Databases. ### When should I avoid awesome-LLM-resources? - Avoid using this resource if you specifically need detailed step-by-step guides or hands-on tutorials that focus deeply on a single technology rather than broad coverage. - It might not be the best choice when you are looking for resources in languages other than English, especially given its extensive English content. ### When should I avoid weaviate-examples? Last GitHub push was 338 days ago (slowing maintenance, Aug 7, 2025). Validate activity before betting a new project on weaviate-examples. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### Is awesome-LLM-resources or weaviate-examples more popular on GitHub? awesome-LLM-resources has more GitHub stars (8,668 vs 332). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-LLM-resources and weaviate-examples open source? Yes - both are open-source projects on GitHub (awesome-LLM-resources: Apache-2.0, weaviate-examples: MIT). ### Where can I find alternatives to awesome-LLM-resources or weaviate-examples? GraphCanon lists graph-backed alternatives at [awesome-LLM-resources alternatives](/tools/wangrongsheng-awesome-llm-resources/alternatives) and [weaviate-examples alternatives](/tools/weaviate-weaviate-examples/alternatives) ([awesome-LLM-resources markdown twin](/tools/wangrongsheng-awesome-llm-resources/alternatives.md), [weaviate-examples markdown twin](/tools/weaviate-weaviate-examples/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/wangrongsheng-awesome-llm-resources-vs-weaviate-weaviate-examples.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, awesome-LLM-resources or weaviate-examples? awesome-LLM-resources: Very active. weaviate-examples: 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 awesome-LLM-resources and weaviate-examples? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-LLM-resources trust report](/tools/wangrongsheng-awesome-llm-resources/trust); [weaviate-examples trust report](/tools/weaviate-weaviate-examples/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=wangrongsheng-awesome-llm-resources`](/api/graphcanon/graph?tool=wangrongsheng-awesome-llm-resources) - 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/_