Vector DB Monitoring Solution

[INQ. NO. 2406E02] WeDataLab, a leading big data and AI solution company, recently announced that it has completed the development of its latest Vector DB monitoring solution, ‛Ezis for Vector DB’, and will officially launch it in September after a pilot test.
According to WeDataLab, ‛Ezis for Vector DB’ is expected to bring innovation to Vector DB management and establish itself as an essential tool for high-performance DB operation such as natural language processing, computer vision, search, and recommendation systems.
Vector DB is a DB that stores information as a vector, which is a numerical representation, and is strong in processing unstructured and semi-structured data, allowing for quick searches of related data.
The company’s high expectations are based upon the vector DB solution indexes and queries vector embeddings using algorithms such as hashing, quantization, and graph-based search, thereby supporting efficient and scalable search functions for large-scale, high-dimensional data sets.

 
 
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