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Docs: Slightly better caption
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# Approximate Nearest Neighbor Search Indexes [experimental]
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# Approximate Nearest Neighbor Search with Vector Similarity Indexes [experimental]
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Nearest neighborhood search is the problem of finding the M closest vectors to a given vector in an N-dimensional vector space. The most
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straightforward approach to solve this problem is an exhaustive (brute-force) search which computes the distance between the reference
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#### Special-purpose
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- Experimental indexes to support approximate nearest neighbor (ANN) search. See [here](annindexes.md) for details.
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- An experimental index to support approximate nearest neighbor search. See [here](annindexes.md) for details.
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- An experimental full-text index to support full-text search. See [here](invertedindexes.md) for details.
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### Functions Support {#functions-support}
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