Comparison
examples vs weaviate-examples
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.
Markdown twin · examples alternatives · weaviate-examples alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | examples | weaviate-examples |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1w · github_public_v1 | Dormant (380d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Organization account As of 1d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- examples
- Jupyter Notebooks to help you get hands-on with Pinecone vector databases
- weaviate-examples
- Weaviate vector database – examples
Stars
- examples
- 3.0k
- weaviate-examples
- 331
Forks
- examples
- 1.1k
- weaviate-examples
- 86
Open issues
- examples
- 61
- weaviate-examples
- 12
Language
- examples
- Jupyter Notebook
- weaviate-examples
- HTML
Adopt for
- examples
- 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
- weaviate-examples aids developers by providing practical usage scenarios for Weaviate vector database, optimizing deep learning applications.
Persona
- examples
- -
- weaviate-examples
- -
Runtime
- examples
- -
- weaviate-examples
- -
License
- examples
- MIT
- weaviate-examples
- MIT
Last pushed
- examples
- Aug 14, 2026
- weaviate-examples
- Aug 7, 2025
Categories
- examples
- Data & Retrieval, Vector Databases
- weaviate-examples
- Data & Retrieval, Vector Databases
Trust and health
Maintenance
- examples
- Very active (96%)
- weaviate-examples
- Dormant (18%)
Days since push
- examples
- 0d
- weaviate-examples
- 380d
Open issues (now)
- examples
- 61
- weaviate-examples
- 12
Stars delta
- examples
- +8 (30d)
- weaviate-examples
- -1 (30d)
Open issues delta
- examples
- -3 (30d)
- weaviate-examples
- 0 (30d)
Full report
- examples
- Trust report
- weaviate-examples
- Trust report
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.
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.
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (pinecone-io/examples) · observed Aug 15, 2026
- GitHub forks (pinecone-io/examples) · observed Aug 15, 2026
- Last push (pinecone-io/examples) · observed Aug 14, 2026
- License file (MIT) · observed Aug 15, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (weaviate/weaviate-examples) · observed Aug 23, 2026
- GitHub forks (weaviate/weaviate-examples) · observed Aug 23, 2026
- Last push (weaviate/weaviate-examples) · observed Aug 7, 2025
- License file (MIT) · observed Aug 23, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: examples 3.0k · weaviate-examples 331 (synced Aug 15, 2026).
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 and weaviate-examples alternatives (examples markdown twin, weaviate-examples 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, 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; weaviate-examples trust report.