weaviate and weaviate-examples
The main repository provides the core vector database engine, while the examples repository serves as complementary educational resources demonstrating how to use that database across different scenarios and integrations.
About weaviate
weaviate/weaviate
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
Weaviate helps developers build powerful AI applications by storing and searching data based on its meaning, not just keywords. You feed it text, images, or other data, and it helps you find related information, power chatbots, or make recommendations. It's used by software engineers and data scientists creating smart applications that understand context.
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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