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A vector database designed to store and search data using machine learning models. It is often used for semantic search and recommendation systems.
| First released | 2019 |
| Developed by | SeMI Technologies |
| Open-source | Yes |
Weaviate supports hybrid search that combines vector similarity with traditional filters.
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