weaviate/weaviate-examples

Weaviate vector database – examples

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This collection provides practical examples for building intelligent applications with a vector search engine. It helps data scientists, machine learning engineers, and researchers explore tasks like semantic search, multi-modal search, and question answering. You input various forms of data (text, images) and receive highly relevant search results or classifications, enabling more intuitive and powerful data exploration.

329 stars. No commits in the last 6 months.

Use this if you are a data scientist or ML engineer looking for concrete examples to implement vector search, semantic search, or multi-modal search functionalities in your applications.

Not ideal if you are an end-user without programming knowledge, as these examples require a technical background to set up and run.

semantic-search information-retrieval image-classification question-answering data-science
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 23 / 25

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Stars

329

Forks

86

Language

HTML

License

MIT

Last pushed

Aug 07, 2025

Commits (30d)

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