%SQL.VectorIndex.HNSWIndexer

graph storage version number

The number of bi-directional links created for every new element during construction

A parameter that controls the number of layers in this graph

Inherited description: This callback method is invoked by the %New() method to provide notification that a new instance of an object is being created.

If this method returns an error then the object will not be created.

It is passed the arguments provided in the %New call. When customizing this method, override the arguments with whatever variables and types you expect to receive from %New(). For example, if you're going to call %New, passing 2 arguments, %OnNew's signature could be:

Method %OnNew(dob as %Date = "", name as %Name = "") as %Status If instead of returning a %Status code this returns an oref and this oref is a subclass of the current class then this oref will be the one returned to the caller of %New method.

Removes row with id pID from the HNSW index lock indicates if locking is in effect (lock=1) or not (lock =0). Default value is 1.

Return a random positive integer based on the probability distribution described in the HNSW paper (https://arxiv.org/abs/1603.09320). Parameter: mL: controls the shape of the distribution. A larger mL results in more layers in the graph

Search for the top ef neighbors in layer lc for query point q, given the entry point epIdx. Stores the result in "results" local array that has most ef nodes. Each node in results is a list that contains the ID of the neighbor point and the distance between the neighbor point and q, subscripted by the ranking: results(ranking)=$lb(ID, distance)

Inserts row with id pID into the HNSW index lock indicates if locking is in effect (lock=1) or not (lock =0). Default value is 1.

Find the top k nearest neighbor of point and store the results as a local array in i%TopK. Each node in i%TopK is a list that contains the ID of the neighbor point and the distance between the neighbor point and q, subscripted by the ranking: i%TopK(ranking)=$lb(ID, distance) Parameter: efSearch: The size of the candidate vectors when finding nearest neighbors for point

Update a point by first deleting the old point, and then inserting the new point lock indicates if locking is in effect (lock=1) or not (lock =0). Default value is 1.

Given a resultArray in HNSWsearchLayer,returns the same data in an array of lists: results(ranking)=$lb(idx, distance)

Returns by reference the next nearest neighbor to i%Point and the distance between this neighbor to i%Point