weaviate-io and weaviate-examples
The website provides documentation and marketing materials for the vector database, while the examples repository provides practical code samples demonstrating how to use it—making them complementary resources within the same product's ecosystem rather than alternatives or independent sibling tools.
About weaviate-io
weaviate/weaviate-io
Website for the Weaviate vector database
This project helps website administrators and content creators manage and update the documentation for the Weaviate vector database. You put in content files written in Markdown and other web assets, and it produces a well-structured, static documentation website. This tool is for web developers and technical writers who maintain project documentation.
About weaviate-examples
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.
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