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[DMDB] Finish first version of summary

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janishutz
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semester4/dmdb/parts/05_vector-search/03_filtered-vector-search.tex
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The benefit of supporting vector search in DBMS is that this makes it easy to use for the end user and can be optimized for large datasets.
\subsection{Filtered Vector Search (FVS)}
This allows us to query both structured and unstructured data. In concept, this is SQL + Vectors, sometimes plus joins, subquery expressions,
This allows us to query both structured and unstructured data. In concept, this is \acrshort{sql} + Vectors, sometimes plus joins, subquery expressions,
multiple vector searches (on both sides of the join). Sometimes, the dataset isn't even a vector + tag stored in main memory.
Indices are typically built on unfiltered data. Thus, we need to think about the proper execution method. Suppose we are to retrieve $K$ rows with filtering: