GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
weaviate-examples aids developers by providing practical usage scenarios for Weaviate vector database, optimizing deep learning applications.
Good fit when
- You aim to integrate vector search capabilities into your deep-learning projects and need hands-on examples to understand functionality.
- Specific code snippets or configurations of Weaviate are required but not covered in the formal documentation.
Avoid when
- 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.
Observed Jul 15, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Dormant (408d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 20, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Backing
Company context for Weaviate. Display-only - separate from trust and ranking.
- Company
- Weaviate·GitHub org profile·Jul 11, 2026
- Funding
- $50,000,000 (2023-04)·GraphCanon curated seed (public press)·Jul 11, 2026
- Commercial model
- Open core·GraphCanon curated seed·Jul 11, 2026
Install
git clone https://github.com/weaviate/weaviate-examplesSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Provides examples for Weaviate, a comprehensive vector database designed for deep learning applications to facilitate efficient data retrieval through vector search.
Capability facts
- Languages
- html
Source: github.language · Sep 20, 2026
Categories
Graph entities
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 20, 2026)
| [Google Colab notebook: Getting started with the Python Client](getting-started-with-python-client-colab) | python (Google Colab) | GoogSource link
Tags
README
Weaviate examples List of examples and tutorials of how to use the Vector Search Engine Weaviate for cool machine learning related tasks. Running Weaviate Most examples assume you have a Weaviate running. You can run one locally by following this installation guide in the documen...
For agents
This page has a .md twin and JSON over the API.