Milvus and Mishards: Search Marches and Marches
August 13, 2021
I read “How We Used Semantic Search to Make Our Search 10x Smarter.” I am fully supportive of better search. Smarter? Maybe.
The write up comes from Zilliz which describes itself this way: The developer of Milvus “the world’s most advanced vector database, to accelerate the development of next generation data fabric.”
The system has a search component which is Elasticsearch. The secret sauce which makes the 10x claim is a group of value adding features; for instance, similarity and clustering.
The idea is that a user enters a word or phrase and the system gets related information without entering a string of synonyms or a particularly precise term. I was immediately reminded of Endeca without the MBAs doing manual fiddling and the computational burden the Endeca system and method imposed on constrained data sets. (Anyone remember the demo about wine?)
This particular write up includes some diagrams which reveal how the system operates. The diagrams like the one shown below are clear, but I
the world’s most advanced vector database, to accelerate the development of next generation data fabric.
The idea is “similarity search.” If you want to know more, navigate to https://zilliz.com. Ten times smarter. Maybe.
Stephen E Arnold, August 13, 2021
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