Class IndexFlatL2

IndexFlatL2 Index. IndexFlatL2 that stores the full vectors and performs squared L2 search.

Param

The dimensionality of index.

Hierarchy

Accessors

codeSize codes dims ids indexType isTrained metricArg metricType ntotal

Methods

add addWithIds dispose getCodesByRange mergeFrom reconstruct reconstructBatch removeIds reset search setCodesByRange toBuffer toIDMap2 train write fromBuffer fromFactory read

Accessors

codeSize

  • get codeSize(): number

  • Byte size of each encoded vector.

    Returns number

codes

  • get codes(): Buffer

  • Encoded dataset, size ntotal * codeSize.

    Returns Buffer

dims

  • get dims(): number

  • Returns number

    The dimensionality of vectors.

ids

  • get ids(): BigInt[]

  • Vector identifiers, size ntotal.

    Returns BigInt[]

indexType

  • get indexType(): IndexType

  • Returns IndexType

    The type of index.

isTrained

  • get isTrained(): boolean

  • returns a boolean that indicates whether training is required.

    Returns boolean

    Whether training is required.

metricArg

  • get metricArg(): number

  • Returns number

    Argument of the metric type.

metricType

  • get metricType(): MetricType

  • Returns MetricType

    The metric of the index.

ntotal

  • get ntotal(): number

  • Returns number

    The number of verctors currently indexed.

Methods

add

  • Add n vectors of dimension d to the index. Vectors are implicitly assigned labels ntotal .. ntotal + n - 1

    Parameters

    • x: number[]

      Input matrix, size n * d

    Returns void

addWithIds

  • Add n vectors of dimension d to the index using the provided labels.

    Parameters

    • x: number[]

      Input matrix, size n * d

    • y: (number | BigInt)[]

      Vector identifiers

    Returns void

  • Add n vectors of dimension d to the index with ID's.

    Parameters

    • x: number[]

      Input matrix, size n * d

    • ids: BigInt[]

      Vector identifiers

    Returns void

dispose

  • Free all resources associated with the index. Further calls to the index will throw.

    Returns void

getCodesByRange

  • Return buffer codes for a given byte range.

    Parameters

    • Optional start: number

      position to read from (default: 0).

    • Optional end: number

      position to read to (default: length).

    Returns Buffer

    Buffer containing the requested codes by range.

mergeFrom

  • Merge the current index with another IndexFlatL2 instance.

    Parameters

    • otherIndex: IndexFlatL2

      The other IndexFlatL2 instance to merge from.

    Returns void

reconstruct

  • Reconstruct desired vector from index. Will throw if not supported by the index type.

    Parameters

    • key: number | BigInt

      Key of vector to reconstruct.

    Returns number[]

    Reconstructed vector of length dims.

reconstructBatch

  • Reconstruct a batch of vectors from index. Will throw if not supported by the index type.

    Parameters

    • keys: (number | BigInt)[]

    Returns number[]

    Reconstructed vector of length dims.

removeIds

  • Remove IDs from the index.

    Parameters

    • ids: BigInt[]

      IDs to read.

    Returns number

    number of IDs removed.

reset

search

  • Query n vectors of dimension d to the index. return at most k vectors. If there are not enough results for a query, the result array is padded with -1s.

    Parameters

    • x: number[]

      Input vectors to search, size n * d.

    • k: number

      The number of nearest neighbors to search for.

    Returns SearchResult

    Output of the search result.

setCodesByRange

  • Overwrite the codes using a custom buffer.

    Parameters

    • buffer: Buffer

      data to replace codes with.

    • Optional start: number

      position to write to (default: 0).

    Returns any

toBuffer

toIDMap2

train

  • Train n vectors of dimension d to the index. Vectors are implicitly assigned labels ntotal .. ntotal + n - 1

    Parameters

    • x: number[]

      Input matrix, size n * d

    Returns void

write

  • Write index to a file.

    Parameters

    • fname: string

      File path to write.

    Returns void

Static fromBuffer

Static fromFactory

  • Construct an index from factory descriptor.

    Parameters

    • dims: number

      Buffer to create index from.

    • descriptor: string

      Factory descriptor.

    • Optional metric: MetricType

      Metric type (defaults to L2).

    Returns Index

    The index read.

Static read

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