weaviate/weaviate-examples
Weaviate vector database – examples
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.
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MIT
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Last pushed
Aug 07, 2025
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