LangChain Reference home page

GitHub
Main Docs

LangChain

Browser
Universal
Hub
Node
Load
Serializable
Encoder Backed
File System
In Memory
Tools

LangChain Core

Text Splitters

MCP Adapters

⌘I

LangChain Assistant

Ask a question to get started

Enter to send•Shift+Enter new line

Menu

Browser Universal Hub Node Load Serializable Encoder Backed File System In Memory Tools

Agents Caches Base Dispatch Web Manager Promises Chat History Context Base Langsmith Documents Embeddings Errors Example Selectors Indexing Base Chat Models Llms Profile Structured Output Load Serializable Memory Messages Tool Output Parsers Openai Functions Openai Tools Outputs Prompt Values Prompts Retrievers Document Compressors Runnables Graph Singletons Stores Structured Query Testing Tools Base Console Log Stream Run Collector Tracer Langchain Stream Async Caller Chunk Array Context Env Event Source Parse Format Function Calling Hash Json Patch Json Schema Math Ssrf Standard Schema Stream Testing Tiktoken Types Vectorstores

Language

Theme

JavaScript@langchain/coreembeddingsEmbeddings

Class●Since v0.3

Embeddings

Copy

class Embeddings

Constructors

Properties

Methods

View source on GitHub

property

caller: AsyncCaller

embedDocuments→ Promise<TOutput[]>

embedQuery→ Promise<TOutput>

An abstract class that provides methods for embedding documents and queries using LangChain.

The async caller should be used by subclasses to make any async calls, which will thus benefit from the concurrency and retry logic.

An abstract method that takes an array of documents as input and returns a promise that resolves to an array of vectors for each document.

An abstract method that takes a single document as input and returns a promise that resolves to a vector for the query document.