langchain/libs/cli/langchain_cli/integration_template/docs/text_embedding.ipynb

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__ModuleName__Embeddings

This notebook covers how to get started with ModuleName embedding models.

Installation

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# install package
!pip install -U __package_name__

Environment Setup

Make sure to set the following environment variables:

• TODO: fill out relevant environment variables or secrets

Usage

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from __module_name__.embeddings import __ModuleName__Embeddings

embeddings = __ModuleName__Embeddings()

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embeddings.embed_query("My query to look up")

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embeddings.embed_documents(
    ["This is a content of the document", "This is another document"]
)

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# async embed query
await embeddings.aembed_query("My query to look up")

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# async embed documents
await embeddings.aembed_documents(
    ["This is a content of the document", "This is another document"]
)