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SeMI's Weaviate iconSeMI's Weaviate

Open-source vector database for scalable search.

Open Source Alternative to:

Repository activity:

Stars15,586

Forks1,192

Open Issues400

Last commit23 hours ago

License:

BSD-3-Clause

Languages:

Go
Assembly
Shell
Python
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SeMI's Weaviate screenshot

Weaviate is an open-source vector database designed to store both objects and vectors, enabling advanced vector search capabilities combined with structured filtering. It offers the fault tolerance and scalability of a cloud-native database, making it a robust solution for modern data needs.

  • Vector Search: Perform advanced searches using vectors to find similar items or data points efficiently.
  • Structured Filtering: Combine vector search with traditional structured filtering to refine search results.
  • Scalability: Built to scale seamlessly with your data, ensuring performance remains consistent as your dataset grows.
  • Fault Tolerance: Designed with fault tolerance in mind, ensuring high availability and reliability of your data.
  • Cloud-Native: Leverages cloud-native technologies for enhanced performance and integration.

Weaviate is a powerful tool for those looking to harness the capabilities of vector search while maintaining the reliability and scalability of a cloud-native database. Its unique combination of features makes it an ideal choice for modern data applications.

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