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feat: LocalTable for vectordb now supports filters without vector search (#693)

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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.
This commit is contained in:
Chang She
2023-12-13 22:59:01 -08:00
committed by GitHub
parent 63ee8fa6a1
commit 098e397cf0
7 changed files with 104 additions and 37 deletions
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18
node/src/query.ts
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@@ -23,10 +23,10 @@ const { tableSearch } = require('../native.js')
* A builder for nearest neighbor queries for LanceDB.
*/
export class Query<T = number[]> {
private readonly _query: T
private readonly _query?: T
private readonly _tbl?: any
private _queryVector?: number[]
private _limit: number
private _limit?: number
private _refineFactor?: number
private _nprobes: number
private _select?: string[]
@@ -35,10 +35,10 @@ export class Query<T = number[]> {
private _prefilter: boolean
protected readonly _embeddings?: EmbeddingFunction<T>
constructor (query: T, tbl?: any, embeddings?: EmbeddingFunction<T>) {
constructor (query?: T, tbl?: any, embeddings?: EmbeddingFunction<T>) {
this._tbl = tbl
this._query = query
this._limit = 10
this._limit = undefined
this._nprobes = 20
this._refineFactor = undefined
this._select = undefined
@@ -113,10 +113,12 @@ export class Query<T = number[]> {
* Execute the query and return the results as an Array of Objects
*/
async execute<T = Record<string, unknown>> (): Promise<T[]> {
if (this._embeddings !== undefined) {
this._queryVector = (await this._embeddings.embed([this._query]))[0]
} else {
this._queryVector = this._query as number[]
if (this._query !== undefined) {
if (this._embeddings !== undefined) {
this._queryVector = (await this._embeddings.embed([this._query]))[0]
} else {
this._queryVector = this._query as number[]
}
}
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