Initialize a new vector database with a list of vectors:

Perform a search operation:

Initialize a new vector database with a list of vectors:

Find the first nearest vector:

Find the list of the first three nearest vectors:

Find the vectors together with their distance:

List all the properties of each result:

Create a vector database with labeled arrays:

The label is automatically returned when searching:

Return the vector instead:

Return the label explicitly:

Filter the result to only contain vectors with a specific label:

Create a vector database with metadata associated to each vector:

Search for the two nearest vectors:

Return only vectors matching a specified filter:

Create a vector database with multiple metadata elements associated to each vector:

All metadata is returned when searching:

Return only the specified metadata:

Return multiple metadata elements with labels:

Return metadata elements alongside other properties:

Filter on multiple metadata elements:

The distance function property is defined when creating the database:

Search the nearest vector using the specified distance:

Create a database with annotated vectors:

The filter function input is the annotation association:

Create a database with 2D vectors:

It is not possible to search using query vectors of different lengths:

Create a vector database with multiple metadata elements associated to each vector:

Only elements that fit the specified filters will be returned, even if this is less than the number requested: