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@lancedb/lancedb - npm Package Compare versions

Comparing version 0.9.0 to 0.10.0-beta.0

1

dist/arrow.d.ts

@@ -1,2 +0,1 @@

/// <reference types="node" />
import { Table as ArrowTable, Binary, BufferType, Field, FixedSizeBinary, FixedSizeList, Float, Int, LargeBinary, List, Null, RecordBatch, Schema, Struct, Utf8 } from "apache-arrow";

@@ -3,0 +2,0 @@ import { Buffers } from "apache-arrow/data";

62

dist/arrow.js

@@ -30,3 +30,33 @@ "use strict";

Object.defineProperty(exports, "__esModule", { value: true });
exports.createEmptyTable = exports.fromTableToStreamBuffer = exports.fromDataToBuffer = exports.fromTableToBuffer = exports.fromRecordsToStreamBuffer = exports.fromRecordsToBuffer = exports.newVectorType = exports.convertToTable = exports.makeEmptyTable = exports.makeArrowTable = exports.MakeArrowTableOptions = exports.VectorColumnOptions = exports.isFixedSizeList = exports.isFixedSizeBinary = exports.isUnion = exports.isStruct = exports.isList = exports.isDuration = exports.isInterval = exports.isTimestamp = exports.isTime = exports.isDate = exports.isDecimal = exports.isBool = exports.isLargeUtf8 = exports.isUtf8 = exports.isLargeBinary = exports.isBinary = exports.isFloat = exports.isInt = exports.isNull = exports.isArrowTable = void 0;
exports.MakeArrowTableOptions = exports.VectorColumnOptions = void 0;
exports.isArrowTable = isArrowTable;
exports.isNull = isNull;
exports.isInt = isInt;
exports.isFloat = isFloat;
exports.isBinary = isBinary;
exports.isLargeBinary = isLargeBinary;
exports.isUtf8 = isUtf8;
exports.isLargeUtf8 = isLargeUtf8;
exports.isBool = isBool;
exports.isDecimal = isDecimal;
exports.isDate = isDate;
exports.isTime = isTime;
exports.isTimestamp = isTimestamp;
exports.isInterval = isInterval;
exports.isDuration = isDuration;
exports.isList = isList;
exports.isStruct = isStruct;
exports.isUnion = isUnion;
exports.isFixedSizeBinary = isFixedSizeBinary;
exports.isFixedSizeList = isFixedSizeList;
exports.makeArrowTable = makeArrowTable;
exports.makeEmptyTable = makeEmptyTable;
exports.convertToTable = convertToTable;
exports.newVectorType = newVectorType;
exports.fromRecordsToBuffer = fromRecordsToBuffer;
exports.fromRecordsToStreamBuffer = fromRecordsToStreamBuffer;
exports.fromTableToBuffer = fromTableToBuffer;
exports.fromDataToBuffer = fromDataToBuffer;
exports.fromTableToStreamBuffer = fromTableToStreamBuffer;
exports.createEmptyTable = createEmptyTable;
const apache_arrow_1 = require("apache-arrow");

@@ -41,79 +71,59 @@ const registry_1 = require("./embedding/registry");

}
exports.isArrowTable = isArrowTable;
function isNull(value) {
return value instanceof apache_arrow_1.Null || apache_arrow_1.DataType.isNull(value);
}
exports.isNull = isNull;
function isInt(value) {
return value instanceof apache_arrow_1.Int || apache_arrow_1.DataType.isInt(value);
}
exports.isInt = isInt;
function isFloat(value) {
return value instanceof apache_arrow_1.Float || apache_arrow_1.DataType.isFloat(value);
}
exports.isFloat = isFloat;
function isBinary(value) {
return value instanceof apache_arrow_1.Binary || apache_arrow_1.DataType.isBinary(value);
}
exports.isBinary = isBinary;
function isLargeBinary(value) {
return value instanceof apache_arrow_1.LargeBinary || apache_arrow_1.DataType.isLargeBinary(value);
}
exports.isLargeBinary = isLargeBinary;
function isUtf8(value) {
return value instanceof apache_arrow_1.Utf8 || apache_arrow_1.DataType.isUtf8(value);
}
exports.isUtf8 = isUtf8;
function isLargeUtf8(value) {
return value instanceof apache_arrow_1.Utf8 || apache_arrow_1.DataType.isLargeUtf8(value);
}
exports.isLargeUtf8 = isLargeUtf8;
function isBool(value) {
return value instanceof apache_arrow_1.Utf8 || apache_arrow_1.DataType.isBool(value);
}
exports.isBool = isBool;
function isDecimal(value) {
return value instanceof apache_arrow_1.Utf8 || apache_arrow_1.DataType.isDecimal(value);
}
exports.isDecimal = isDecimal;
function isDate(value) {
return value instanceof apache_arrow_1.Utf8 || apache_arrow_1.DataType.isDate(value);
}
exports.isDate = isDate;
function isTime(value) {
return value instanceof apache_arrow_1.Utf8 || apache_arrow_1.DataType.isTime(value);
}
exports.isTime = isTime;
function isTimestamp(value) {
return value instanceof apache_arrow_1.Utf8 || apache_arrow_1.DataType.isTimestamp(value);
}
exports.isTimestamp = isTimestamp;
function isInterval(value) {
return value instanceof apache_arrow_1.Utf8 || apache_arrow_1.DataType.isInterval(value);
}
exports.isInterval = isInterval;
function isDuration(value) {
return value instanceof apache_arrow_1.Utf8 || apache_arrow_1.DataType.isDuration(value);
}
exports.isDuration = isDuration;
function isList(value) {
return value instanceof apache_arrow_1.List || apache_arrow_1.DataType.isList(value);
}
exports.isList = isList;
function isStruct(value) {
return value instanceof apache_arrow_1.Struct || apache_arrow_1.DataType.isStruct(value);
}
exports.isStruct = isStruct;
function isUnion(value) {
return value instanceof apache_arrow_1.Struct || apache_arrow_1.DataType.isUnion(value);
}
exports.isUnion = isUnion;
function isFixedSizeBinary(value) {
return value instanceof apache_arrow_1.FixedSizeBinary || apache_arrow_1.DataType.isFixedSizeBinary(value);
}
exports.isFixedSizeBinary = isFixedSizeBinary;
function isFixedSizeList(value) {
return value instanceof apache_arrow_1.FixedSizeList || apache_arrow_1.DataType.isFixedSizeList(value);
}
exports.isFixedSizeList = isFixedSizeList;
/*

@@ -376,3 +386,2 @@ * Options to control how a column should be converted to a vector array

}
exports.makeArrowTable = makeArrowTable;
/**

@@ -384,3 +393,2 @@ * Create an empty Arrow table with the provided schema

}
exports.makeEmptyTable = makeEmptyTable;
/**

@@ -581,3 +589,2 @@ * Helper function to convert Array<Array<any>> to a variable sized list array

}
exports.convertToTable = convertToTable;
/** Creates the Arrow Type for a Vector column with dimension `dim` */

@@ -590,3 +597,2 @@ function newVectorType(dim, innerType) {

}
exports.newVectorType = newVectorType;
/**

@@ -607,3 +613,2 @@ * Serialize an Array of records into a buffer using the Arrow IPC File serialization

}
exports.fromRecordsToBuffer = fromRecordsToBuffer;
/**

@@ -624,3 +629,2 @@ * Serialize an Array of records into a buffer using the Arrow IPC Stream serialization

}
exports.fromRecordsToStreamBuffer = fromRecordsToStreamBuffer;
/**

@@ -642,3 +646,2 @@ * Serialize an Arrow Table into a buffer using the Arrow IPC File serialization

}
exports.fromTableToBuffer = fromTableToBuffer;
/**

@@ -664,3 +667,2 @@ * Serialize an Arrow Table into a buffer using the Arrow IPC File serialization

}
exports.fromDataToBuffer = fromDataToBuffer;
/**

@@ -679,3 +681,2 @@ * Serialize an Arrow Table into a buffer using the Arrow IPC Stream serialization

}
exports.fromTableToStreamBuffer = fromTableToStreamBuffer;
/**

@@ -714,3 +715,2 @@ * Reorder the columns in `batch` so that they agree with the field order in `schema`

}
exports.createEmptyTable = createEmptyTable;
function validateSchemaEmbeddings(schema, data, embeddings) {

@@ -717,0 +717,0 @@ const fields = [];

@@ -16,3 +16,4 @@ "use strict";

Object.defineProperty(exports, "__esModule", { value: true });
exports.cleanseStorageOptions = exports.LocalConnection = exports.Connection = void 0;
exports.LocalConnection = exports.Connection = void 0;
exports.cleanseStorageOptions = cleanseStorageOptions;
const arrow_1 = require("./arrow");

@@ -131,3 +132,2 @@ const registry_1 = require("./embedding/registry");

}
exports.cleanseStorageOptions = cleanseStorageOptions;
/**

@@ -134,0 +134,0 @@ * Convert a string to snake case. It might already be snake case, in which case it is

@@ -30,3 +30,4 @@ "use strict";

Object.defineProperty(exports, "__esModule", { value: true });
exports.LanceSchema = exports.TextEmbeddingFunction = exports.EmbeddingFunction = void 0;
exports.TextEmbeddingFunction = exports.EmbeddingFunction = void 0;
exports.LanceSchema = LanceSchema;
const arrow_1 = require("../arrow");

@@ -82,3 +83,2 @@ const sanitize_1 = require("../sanitize");

}
exports.LanceSchema = LanceSchema;
function parseEmbeddingFunctions(embeddingFunctions, key, metadata) {

@@ -85,0 +85,0 @@ if (metadata.has("source_column_for")) {

@@ -20,2 +20,6 @@ import { type EmbeddingFunction, type EmbeddingFunctionConstructor } from "./embedding_function";

/**
* Get the number of registered functions
*/
length(): number;
/**
* Register an embedding function

@@ -22,0 +26,0 @@ * @param name The name of the function

@@ -16,3 +16,5 @@ "use strict";

Object.defineProperty(exports, "__esModule", { value: true });
exports.getRegistry = exports.register = exports.EmbeddingFunctionRegistry = void 0;
exports.EmbeddingFunctionRegistry = void 0;
exports.register = register;
exports.getRegistry = getRegistry;
require("reflect-metadata");

@@ -28,2 +30,8 @@ /**

/**
* Get the number of registered functions
*/
length() {
return this.#functions.size;
}
/**
* Register an embedding function

@@ -135,3 +143,2 @@ * @param name The name of the function

}
exports.register = register;
/**

@@ -148,2 +155,1 @@ * Utility function to get the global instance of the registry

}
exports.getRegistry = getRegistry;

@@ -16,3 +16,4 @@ "use strict";

Object.defineProperty(exports, "__esModule", { value: true });
exports.connect = exports.embedding = exports.Table = exports.Index = exports.RecordBatchIterator = exports.VectorQuery = exports.QueryBase = exports.Query = exports.Connection = exports.VectorColumnOptions = exports.MakeArrowTableOptions = exports.makeArrowTable = void 0;
exports.embedding = exports.Table = exports.Index = exports.RecordBatchIterator = exports.VectorQuery = exports.QueryBase = exports.Query = exports.Connection = exports.VectorColumnOptions = exports.MakeArrowTableOptions = exports.makeArrowTable = void 0;
exports.connect = connect;
const connection_1 = require("./connection");

@@ -58,2 +59,1 @@ const native_js_1 = require("./native.js");

}
exports.connect = connect;

@@ -141,2 +141,32 @@ /**

static btree(): Index;
/**
* Create a bitmap index.
*
* A `Bitmap` index stores a bitmap for each distinct value in the column for every row.
*
* This index works best for low-cardinality columns, where the number of unique values
* is small (i.e., less than a few hundreds).
*/
static bitmap(): Index;
/**
* Create a label list index.
*
* LabelList index is a scalar index that can be used on `List<T>` columns to
* support queries with `array_contains_all` and `array_contains_any`
* using an underlying bitmap index.
*/
static labelList(): Index;
/**
* Create a full text search index
*
* A full text search index is an index on a string column, so that you can conduct full
* text searches on the column.
*
* The results of a full text search are ordered by relevance measured by BM25.
*
* You can combine filters with full text search.
*
* For now, the full text search index only supports English, and doesn't support phrase search.
*/
static fts(): Index;
}

@@ -143,0 +173,0 @@ export interface IndexOptions {

@@ -70,3 +70,39 @@ "use strict";

}
/**
* Create a bitmap index.
*
* A `Bitmap` index stores a bitmap for each distinct value in the column for every row.
*
* This index works best for low-cardinality columns, where the number of unique values
* is small (i.e., less than a few hundreds).
*/
static bitmap() {
return new Index(native_1.Index.bitmap());
}
/**
* Create a label list index.
*
* LabelList index is a scalar index that can be used on `List<T>` columns to
* support queries with `array_contains_all` and `array_contains_any`
* using an underlying bitmap index.
*/
static labelList() {
return new Index(native_1.Index.labelList());
}
/**
* Create a full text search index
*
* A full text search index is an index on a string column, so that you can conduct full
* text searches on the column.
*
* The results of a full text search are ordered by relevance measured by BM25.
*
* You can combine filters with full text search.
*
* For now, the full text search index only supports English, and doesn't support phrase search.
*/
static fts() {
return new Index(native_1.Index.fts());
}
}
exports.Index = Index;

@@ -22,2 +22,14 @@ import { Table as ArrowTable, type IntoVector, RecordBatch } from "./arrow";

}
/**
* Options that control the behavior of a full text search
*/
export interface FullTextSearchOptions {
/**
* The columns to search
*
* If not specified, all indexed columns will be searched.
* For now, only one column can be searched.
*/
columns?: string | string[];
}
/** Common methods supported by all query types */

@@ -47,2 +59,3 @@ export declare class QueryBase<NativeQueryType extends NativeQuery | NativeVectorQuery> implements AsyncIterable<RecordBatch> {

filter(predicate: string): this;
fullTextSearch(query: string, options?: Partial<FullTextSearchOptions>): this;
/**

@@ -49,0 +62,0 @@ * Return only the specified columns.

@@ -101,2 +101,15 @@ "use strict";

}
fullTextSearch(query, options) {
let columns = null;
if (options) {
if (typeof options.columns === "string") {
columns = [options.columns];
}
else if (Array.isArray(options.columns)) {
columns = options.columns;
}
}
this.doCall((inner) => inner.fullTextSearch(query, columns));
return this;
}
/**

@@ -103,0 +116,0 @@ * Return only the specified columns.

@@ -1,2 +0,1 @@

/// <reference types="node" />
import { type AxiosResponse } from "axios";

@@ -3,0 +2,0 @@ import { Table as ArrowTable } from "../arrow";

@@ -15,3 +15,3 @@ "use strict";

#client;
#tableCache = new util_1.TTLCache(300000);
#tableCache = new util_1.TTLCache(300_000);
constructor(url, { apiKey, region, hostOverride, timeout }) {

@@ -18,0 +18,0 @@ super();

@@ -16,3 +16,24 @@ "use strict";

Object.defineProperty(exports, "__esModule", { value: true });
exports.sanitizeTable = exports.sanitizeSchema = exports.sanitizeField = exports.sanitizeType = exports.sanitizeDictionary = exports.sanitizeDuration = exports.sanitizeMap = exports.sanitizeFixedSizeList = exports.sanitizeFixedSizeBinary = exports.sanitizeTypedUnion = exports.sanitizeUnion = exports.sanitizeStruct = exports.sanitizeList = exports.sanitizeInterval = exports.sanitizeTypedTimestamp = exports.sanitizeTimestamp = exports.sanitizeTime = exports.sanitizeDate = exports.sanitizeDecimal = exports.sanitizeFloat = exports.sanitizeInt = exports.sanitizeMetadata = void 0;
exports.sanitizeMetadata = sanitizeMetadata;
exports.sanitizeInt = sanitizeInt;
exports.sanitizeFloat = sanitizeFloat;
exports.sanitizeDecimal = sanitizeDecimal;
exports.sanitizeDate = sanitizeDate;
exports.sanitizeTime = sanitizeTime;
exports.sanitizeTimestamp = sanitizeTimestamp;
exports.sanitizeTypedTimestamp = sanitizeTypedTimestamp;
exports.sanitizeInterval = sanitizeInterval;
exports.sanitizeList = sanitizeList;
exports.sanitizeStruct = sanitizeStruct;
exports.sanitizeUnion = sanitizeUnion;
exports.sanitizeTypedUnion = sanitizeTypedUnion;
exports.sanitizeFixedSizeBinary = sanitizeFixedSizeBinary;
exports.sanitizeFixedSizeList = sanitizeFixedSizeList;
exports.sanitizeMap = sanitizeMap;
exports.sanitizeDuration = sanitizeDuration;
exports.sanitizeDictionary = sanitizeDictionary;
exports.sanitizeType = sanitizeType;
exports.sanitizeField = sanitizeField;
exports.sanitizeSchema = sanitizeSchema;
exports.sanitizeTable = sanitizeTable;
// The utilities in this file help sanitize data from the user's arrow

@@ -41,3 +62,2 @@ // library into the types expected by vectordb's arrow library. Node

}
exports.sanitizeMetadata = sanitizeMetadata;
function sanitizeInt(typeLike) {

@@ -52,3 +72,2 @@ if (!("bitWidth" in typeLike) ||

}
exports.sanitizeInt = sanitizeInt;
function sanitizeFloat(typeLike) {

@@ -60,3 +79,2 @@ if (!("precision" in typeLike) || typeof typeLike.precision !== "number") {

}
exports.sanitizeFloat = sanitizeFloat;
function sanitizeDecimal(typeLike) {

@@ -73,3 +91,2 @@ if (!("scale" in typeLike) ||

}
exports.sanitizeDecimal = sanitizeDecimal;
function sanitizeDate(typeLike) {

@@ -81,3 +98,2 @@ if (!("unit" in typeLike) || typeof typeLike.unit !== "number") {

}
exports.sanitizeDate = sanitizeDate;
function sanitizeTime(typeLike) {

@@ -92,3 +108,2 @@ if (!("unit" in typeLike) ||

}
exports.sanitizeTime = sanitizeTime;
function sanitizeTimestamp(typeLike) {

@@ -104,3 +119,2 @@ if (!("unit" in typeLike) || typeof typeLike.unit !== "number") {

}
exports.sanitizeTimestamp = sanitizeTimestamp;
function sanitizeTypedTimestamp(typeLike,

@@ -115,3 +129,2 @@ // eslint-disable-next-line @typescript-eslint/naming-convention

}
exports.sanitizeTypedTimestamp = sanitizeTypedTimestamp;
function sanitizeInterval(typeLike) {

@@ -123,3 +136,2 @@ if (!("unit" in typeLike) || typeof typeLike.unit !== "number") {

}
exports.sanitizeInterval = sanitizeInterval;
function sanitizeList(typeLike) {

@@ -134,3 +146,2 @@ if (!("children" in typeLike) || !Array.isArray(typeLike.children)) {

}
exports.sanitizeList = sanitizeList;
function sanitizeStruct(typeLike) {

@@ -142,3 +153,2 @@ if (!("children" in typeLike) || !Array.isArray(typeLike.children)) {

}
exports.sanitizeStruct = sanitizeStruct;
function sanitizeUnion(typeLike) {

@@ -157,3 +167,2 @@ if (!("typeIds" in typeLike) ||

}
exports.sanitizeUnion = sanitizeUnion;
function sanitizeTypedUnion(typeLike,

@@ -170,3 +179,2 @@ // eslint-disable-next-line @typescript-eslint/naming-convention

}
exports.sanitizeTypedUnion = sanitizeTypedUnion;
function sanitizeFixedSizeBinary(typeLike) {

@@ -178,3 +186,2 @@ if (!("byteWidth" in typeLike) || typeof typeLike.byteWidth !== "number") {

}
exports.sanitizeFixedSizeBinary = sanitizeFixedSizeBinary;
function sanitizeFixedSizeList(typeLike) {

@@ -192,3 +199,2 @@ if (!("listSize" in typeLike) || typeof typeLike.listSize !== "number") {

}
exports.sanitizeFixedSizeList = sanitizeFixedSizeList;
function sanitizeMap(typeLike) {

@@ -205,3 +211,2 @@ if (!("children" in typeLike) || !Array.isArray(typeLike.children)) {

}
exports.sanitizeMap = sanitizeMap;
function sanitizeDuration(typeLike) {

@@ -213,3 +218,2 @@ if (!("unit" in typeLike) || typeof typeLike.unit !== "number") {

}
exports.sanitizeDuration = sanitizeDuration;
function sanitizeDictionary(typeLike) {

@@ -230,3 +234,2 @@ if (!("id" in typeLike) || typeof typeLike.id !== "number") {

}
exports.sanitizeDictionary = sanitizeDictionary;
// biome-ignore lint/suspicious/noExplicitAny: skip

@@ -355,3 +358,2 @@ function sanitizeType(typeLike) {

}
exports.sanitizeType = sanitizeType;
function sanitizeField(fieldLike) {

@@ -384,3 +386,2 @@ if (fieldLike instanceof arrow_1.Field) {

}
exports.sanitizeField = sanitizeField;
/**

@@ -413,3 +414,2 @@ * Convert something schemaLike into a Schema instance

}
exports.sanitizeSchema = sanitizeSchema;
function sanitizeTable(tableLike) {

@@ -432,3 +432,2 @@ if (tableLike instanceof arrow_1.Table) {

}
exports.sanitizeTable = sanitizeTable;
function sanitizeRecordBatch(batchLike) {

@@ -435,0 +434,0 @@ if (batchLike instanceof arrow_1.RecordBatch) {

@@ -1,2 +0,1 @@

/// <reference types="node" />
import { Table as ArrowTable, Data, IntoVector, Schema, TableLike } from "./arrow";

@@ -221,17 +220,13 @@ import { CreateTableOptions } from "./connection";

* Create a search query to find the nearest neighbors
* of the given query vector
* @param {string} query - the query. This will be converted to a vector using the table's provided embedding function
* @note If no embedding functions are defined in the table, this will error when collecting the results.
* of the given query
* @param {string | IntoVector} query - the query, a vector or string
* @param {string} queryType - the type of the query, "vector", "fts", or "auto"
* @param {string | string[]} ftsColumns - the columns to search in for full text search
* for now, only one column can be searched at a time.
*
* This is just a convenience method for calling `.query().nearestTo(await myEmbeddingFunction(query))`
* when "auto" is used, if the query is a string and an embedding function is defined, it will be treated as a vector query
* if the query is a string and no embedding function is defined, it will be treated as a full text search query
*/
abstract search(query: string): VectorQuery;
abstract search(query: string | IntoVector, queryType?: string, ftsColumns?: string | string[]): VectorQuery | Query;
/**
* Create a search query to find the nearest neighbors
* of the given query vector
* @param {IntoVector} query - the query vector
* This is just a convenience method for calling `.query().nearestTo(query)`
*/
abstract search(query: IntoVector): VectorQuery;
/**
* Search the table with a given query vector.

@@ -385,3 +380,3 @@ *

query(): Query;
search(query: string | IntoVector): VectorQuery;
search(query: string | IntoVector, queryType?: string, ftsColumns?: string | string[]): VectorQuery | Query;
vectorSearch(vector: IntoVector): VectorQuery;

@@ -388,0 +383,0 @@ addColumns(newColumnTransforms: AddColumnsSql[]): Promise<void>;

@@ -160,19 +160,33 @@ "use strict";

}
search(query) {
search(query, queryType = "auto", ftsColumns) {
if (typeof query !== "string") {
if (queryType === "fts") {
throw new Error("Cannot perform full text search on a vector query");
}
return this.vectorSearch(query);
}
else {
const queryPromise = this.getEmbeddingFunctions().then(async (functions) => {
// TODO: Support multiple embedding functions
const embeddingFunc = functions
.values()
.next().value;
if (!embeddingFunc) {
return Promise.reject(new Error("No embedding functions are defined in the table"));
}
return await embeddingFunc.function.computeQueryEmbeddings(query);
// If the query is a string, we need to determine if it is a vector query or a full text search query
if (queryType === "fts") {
return this.query().fullTextSearch(query, {
columns: ftsColumns,
});
return this.query().nearestTo(queryPromise);
}
// The query type is auto or vector
// fall back to full text search if no embedding functions are defined and the query is a string
if (queryType === "auto" && (0, registry_1.getRegistry)().length() === 0) {
return this.query().fullTextSearch(query, {
columns: ftsColumns,
});
}
const queryPromise = this.getEmbeddingFunctions().then(async (functions) => {
// TODO: Support multiple embedding functions
const embeddingFunc = functions
.values()
.next().value;
if (!embeddingFunc) {
return Promise.reject(new Error("No embedding functions are defined in the table"));
}
return await embeddingFunc.function.computeQueryEmbeddings(query);
});
return this.query().nearestTo(queryPromise);
}

@@ -179,0 +193,0 @@ vectorSearch(vector) {

@@ -1,2 +0,1 @@

/// <reference types="node" />
export type IntoSql = string | number | boolean | null | Date | ArrayBufferLike | Buffer | IntoSql[];

@@ -3,0 +2,0 @@ export declare function toSQL(value: IntoSql): string;

"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
exports.TTLCache = exports.toSQL = void 0;
exports.TTLCache = void 0;
exports.toSQL = toSQL;
function toSQL(value) {

@@ -33,3 +34,2 @@ if (typeof value === "string") {

}
exports.toSQL = toSQL;
class TTLCache {

@@ -36,0 +36,0 @@ ttl;

@@ -13,3 +13,3 @@ {

],
"version": "0.9.0",
"version": "0.10.0-beta.0",
"main": "dist/index.js",

@@ -57,3 +57,3 @@ "exports": {

"typedoc-plugin-markdown": "^4.2.1",
"typescript": "^5.3.3",
"typescript": "^5.5.4",
"typescript-eslint": "^7.1.0"

@@ -97,7 +97,7 @@ },

"optionalDependencies": {
"@lancedb/lancedb-darwin-arm64": "0.9.0",
"@lancedb/lancedb-linux-arm64-gnu": "0.9.0",
"@lancedb/lancedb-darwin-x64": "0.9.0",
"@lancedb/lancedb-linux-x64-gnu": "0.9.0",
"@lancedb/lancedb-win32-x64-msvc": "0.9.0"
"@lancedb/lancedb-darwin-arm64": "0.10.0-beta.0",
"@lancedb/lancedb-linux-arm64-gnu": "0.10.0-beta.0",
"@lancedb/lancedb-darwin-x64": "0.10.0-beta.0",
"@lancedb/lancedb-linux-x64-gnu": "0.10.0-beta.0",
"@lancedb/lancedb-win32-x64-msvc": "0.10.0-beta.0"
},

@@ -104,0 +104,0 @@ "peerDependencies": {

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