--- title: "examples vs weaviate-examples" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/pinecone-io-examples-vs-weaviate-weaviate-examples" tools: ["pinecone-io-examples", "weaviate-weaviate-examples"] --- # examples vs weaviate-examples *GraphCanon updated Aug 23, 2026* ## Verdict Pick examples if examples, powered by Pinecone vector databases, offers interactive Jupyter Notebooks to aid users in experimenting with semantic search tasks through hands-on guidance; pick weaviate-examples if weaviate-examples aids developers by providing practical usage scenarios for Weaviate vector database, optimizing deep learning applications. [examples](https://docs.pinecone.io) reports 3.0k GitHub stars, 1.1k forks, and 61 open issues, last pushed Aug 14, 2026. [weaviate-examples](https://github.com/weaviate/weaviate-examples) has 331 stars, 86 forks, and 12 open issues, last pushed Aug 7, 2025. Figures are from public GitHub metadata via [examples's repository](https://github.com/pinecone-io/examples) and [weaviate-examples's repository](https://github.com/weaviate/weaviate-examples). | | [examples](/tools/pinecone-io-examples.md) | [weaviate-examples](/tools/weaviate-weaviate-examples.md) | | --- | --- | --- | | Tagline | Jupyter Notebooks to help you get hands-on with Pinecone vector databases | Weaviate vector database – examples | | Stars | 3,036 | 331 | | Forks | 1,073 | 86 | | Open issues | 61 | 12 | | Language | Jupyter Notebook | HTML | | Adopt for | Examples, powered by Pinecone vector databases, offers interactive Jupyter Notebooks to aid users in experimenting with semantic search tasks through hands-on guidance. | weaviate-examples aids developers by providing practical usage scenarios for Weaviate vector database, optimizing deep learning applications. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Data & Retrieval, Vector Databases | Data & Retrieval, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [examples](/tools/pinecone-io-examples.md) | [weaviate-examples](/tools/weaviate-weaviate-examples.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 380d | | Open issues (now) | 61 | 12 | | Stars delta | +8 (30d) | -1 (30d) | | Open issues delta | -3 (30d) | 0 (30d) | | Full report | [trust report](/tools/pinecone-io-examples/trust.md) | [trust report](/tools/weaviate-weaviate-examples/trust.md) | ## Decision facts: examples - **Adopt for:** Examples, powered by Pinecone vector databases, offers interactive Jupyter Notebooks to aid users in experimenting with semantic search tasks through hands-on guidance. ## Decision facts: weaviate-examples - **Adopt for:** weaviate-examples aids developers by providing practical usage scenarios for Weaviate vector database, optimizing deep learning applications. ## Choose when ### Choose examples if… - examples is primarily Jupyter Notebook; weaviate-examples is HTML. - Tags unique to examples: ai, jupyter-notebook, llm, python. - When you need specific examples and walkthroughs for working with Pinecone's vector database technology using interactive Jupyter Notebooks. ### Choose weaviate-examples if… - weaviate-examples is primarily HTML; examples is Jupyter Notebook. - Tags unique to weaviate-examples: deep-learning, examples, vector-search, vector-search-engine. - You aim to integrate vector search capabilities into your deep-learning projects and need hands-on examples to understand functionality. ## When NOT to use examples - Avoid if you're looking for generic tools applicable to a wide range of vector databases; this repository focuses exclusively on Pinecone. - Not ideal if you prefer starting with theoretical understanding before practical application; the provided guidance is geared toward immediate experimentation in Google Colab. ## When NOT to use weaviate-examples - Your project utilizes a different vector database that aligns better with its specific requirements, such as more customizability in indexing. - You seek general tutorial material on deep learning without the context of Weaviate's implementation specifics. ## Common questions ### What is the difference between examples and weaviate-examples? examples: Jupyter Notebooks to help you get hands-on with Pinecone vector databases. weaviate-examples: Weaviate vector database – examples. See the comparison table for live GitHub stats and shared categories. ### When should I choose examples over weaviate-examples? Choose examples over weaviate-examples when examples is primarily Jupyter Notebook; weaviate-examples is HTML; Tags unique to examples: ai, jupyter-notebook, llm, python; When you need specific examples and walkthroughs for working with Pinecone's vector database technology using interactive Jupyter Notebooks. ### When should I choose weaviate-examples over examples? Choose weaviate-examples over examples when weaviate-examples is primarily HTML; examples is Jupyter Notebook; Tags unique to weaviate-examples: deep-learning, examples, vector-search, vector-search-engine; You aim to integrate vector search capabilities into your deep-learning projects and need hands-on examples to understand functionality. ### When should I avoid examples? Avoid if you're looking for generic tools applicable to a wide range of vector databases; this repository focuses exclusively on Pinecone. Not ideal if you prefer starting with theoretical understanding before practical application; the provided guidance is geared toward immediate experimentation in Google Colab. ### When should I avoid weaviate-examples? Your project utilizes a different vector database that aligns better with its specific requirements, such as more customizability in indexing. You seek general tutorial material on deep learning without the context of Weaviate's implementation specifics. ### Is examples or weaviate-examples more popular on GitHub? examples has more GitHub stars (3,036 vs 331). Stars measure visibility, not whether either tool fits your constraints. ### Are examples and weaviate-examples open source? Yes - both are open-source projects on GitHub (examples: MIT, weaviate-examples: MIT). ### Where can I find alternatives to examples or weaviate-examples? GraphCanon lists graph-backed alternatives at [examples alternatives](/tools/pinecone-io-examples/alternatives) and [weaviate-examples alternatives](/tools/weaviate-weaviate-examples/alternatives) ([examples markdown twin](/tools/pinecone-io-examples/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/pinecone-io-examples-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, examples or weaviate-examples? examples: Very active. weaviate-examples: Dormant. 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 examples and weaviate-examples? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [examples trust report](/tools/pinecone-io-examples/trust); [weaviate-examples trust report](/tools/weaviate-weaviate-examples/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=pinecone-io-examples`](/api/graphcanon/graph?tool=pinecone-io-examples) - 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/_