Files
lancedb/node/src/query.ts
Chang She b02370cacd feat: LocalTable for vectordb now supports filters without vector search (#693)
Note this currently the filter/where is only implemented for LocalTable
so that it requires an explicit cast to "enable" (see new unit test).
The alternative is to add it to the Table interface, but since it's not
available on RemoteTable this may cause some user experience issues.
2024-04-05 16:24:15 -07:00

151 lines
4.4 KiB
TypeScript

// Copyright 2023 LanceDB Developers.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
import { Vector, tableFromIPC } from 'apache-arrow'
import { type EmbeddingFunction } from './embedding/embedding_function'
import { type MetricType } from '.'
// eslint-disable-next-line @typescript-eslint/no-var-requires
const { tableSearch } = require('../native.js')
/**
* A builder for nearest neighbor queries for LanceDB.
*/
export class Query<T = number[]> {
private readonly _query?: T
private readonly _tbl?: any
private _queryVector?: number[]
private _limit?: number
private _refineFactor?: number
private _nprobes: number
private _select?: string[]
private _filter?: string
private _metricType?: MetricType
private _prefilter: boolean
protected readonly _embeddings?: EmbeddingFunction<T>
constructor (query?: T, tbl?: any, embeddings?: EmbeddingFunction<T>) {
this._tbl = tbl
this._query = query
this._limit = undefined
this._nprobes = 20
this._refineFactor = undefined
this._select = undefined
this._filter = undefined
this._metricType = undefined
this._embeddings = embeddings
this._prefilter = false
}
/***
* Sets the number of results that will be returned
* @param value number of results
*/
limit (value: number): Query<T> {
this._limit = value
return this
}
/**
* Refine the results by reading extra elements and re-ranking them in memory.
* @param value refine factor to use in this query.
*/
refineFactor (value: number): Query<T> {
this._refineFactor = value
return this
}
/**
* The number of probes used. A higher number makes search more accurate but also slower.
* @param value The number of probes used.
*/
nprobes (value: number): Query<T> {
this._nprobes = value
return this
}
/**
* A filter statement to be applied to this query.
* @param value A filter in the same format used by a sql WHERE clause.
*/
filter (value: string): Query<T> {
this._filter = value
return this
}
where = this.filter
/** Return only the specified columns.
*
* @param value Only select the specified columns. If not specified, all columns will be returned.
*/
select (value: string[]): Query<T> {
this._select = value
return this
}
/**
* The MetricType used for this Query.
* @param value The metric to the. @see MetricType for the different options
*/
metricType (value: MetricType): Query<T> {
this._metricType = value
return this
}
prefilter (value: boolean): Query<T> {
this._prefilter = value
return this
}
/**
* Execute the query and return the results as an Array of Objects
*/
async execute<T = Record<string, unknown>> (): Promise<T[]> {
if (this._query !== undefined) {
if (this._embeddings !== undefined) {
this._queryVector = (await this._embeddings.embed([this._query]))[0]
} else {
this._queryVector = this._query as number[]
}
}
const isElectron = this.isElectron()
const buffer = await tableSearch.call(this._tbl, this, isElectron)
const data = tableFromIPC(buffer)
return data.toArray().map((entry: Record<string, unknown>) => {
const newObject: Record<string, unknown> = {}
Object.keys(entry).forEach((key: string) => {
if (entry[key] instanceof Vector) {
newObject[key] = (entry[key] as Vector).toArray()
} else {
newObject[key] = entry[key]
}
})
return newObject as unknown as T
})
}
// See https://github.com/electron/electron/issues/2288
private isElectron (): boolean {
try {
// eslint-disable-next-line no-prototype-builtins
return (process?.versions?.hasOwnProperty('electron') || navigator?.userAgent?.toLowerCase()?.includes(' electron'))
} catch (e) {
return false
}
}
}