![]() ![]() ![]() Furthermore, differences in insert rate, query rate, and underlying hardware may result in different application needs, making overall system tunability mandatory for the best vector databases. Scalability and tunability: As the number of unstructured data elements stored in a vector database grows into the hundreds of millions or billions, horizontal scaling across multiple nodes becomes paramount (scaling up by manually inserting sticks of RAM into a server rack every 3 months is no fun). Let’s list out all of the vector database features to look out for (many of these features overlap with those of databases for structured/semi-structured data): What good is a piece of technology without strong usability and a good user API? In concert with the underlying technology, multi-tenancy and usability are also incredibly important attributes for vector databases. Let’s think about it from a user perspective. When combined with powerful machine learning models, vector databases such as Milvus have the ability to revolutionize e-commerce solutions, recommendation systems, semantic search, computer security, pharmaceuticals, and many other industries. ![]() Ready for the answer?īeing able to search across images, video, text, audio, and other forms of unstructured data via their content rather than human-generated labels or tags is exactly what vector databases were meant to solve. Guess how many curators it took to label the now-famous ImageNet dataset. Through all of this information, it’s now clear that the ever-increasing amount of unstructured data requires a paradigm shift and a new category of database management system - the vector database.Ī vector database is a fully managed, no-frills solution for storing, indexing and searching across a massive dataset of unstructured data that leverages the power of embeddings from machine learning models. Finally, we briefly touched upon unstructured data processing via ANN search. We then covered how these bits of data can be split into structured/semi-structured and unstructured data types, the differences between them, and how modern machine learning can be used to understand unstructured data through embeddings. In the previous tutorial, we took a quick look at the ever-increasing amount of data that is being generated on a daily basis. What is a Vector Database? - Zilliz Vector database learn CloudPricingLearnDocsBlogGitHubResourcesOpen-sourceCompanyAboutCareersNewsPartnersEventsContactLog inTry freeBackVector Database 101What is a Vector Database?By Frank Liu on Apr 15, 2023CopiedVector Database - A Complete Introduction ![]()
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