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

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__ModuleName__

__ModuleName__Loader

• TODO: Make sure API reference link is correct.

This notebook provides a quick overview for getting started with ModuleName document loader. For detailed documentation of all __ModuleName__Loader features and configurations head to the API reference.

• TODO: Add any other relevant links, like information about underlying API, etc.

Overview

Integration details

• TODO: Fill in table features.
• TODO: Remove JS support link if not relevant, otherwise ensure link is correct.
• TODO: Make sure API reference links are correct.

Class	Package	Local	Serializable	JS support
__ModuleName__Loader	langchain_community	✅/❌	beta/❌	✅/❌

Loader features

Source	Document Lazy Loading	Native Async Support
__ModuleName__Loader	✅/❌	✅/❌

Setup

• TODO: Update with relevant info.

To access ModuleName document loader you'll need to install the __package_name__ integration package, and create a ModuleName account and get an API key.

Credentials

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Head to (TODO: link) to sign up to ModuleName and generate an API key. Once you've done this set the __MODULE_NAME___API_KEY environment variable:

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import getpass
import os

os.environ["__MODULE_NAME___API_KEY"] = getpass.getpass("Enter your __ModuleName__ API key: ")

If you want to get automated best in-class tracing of your model calls you can also set your LangSmith API key by uncommenting below:

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# os.environ["LANGSMITH_API_KEY"] = getpass.getpass("Enter your LangSmith API key: ")
# os.environ["LANGSMITH_TRACING"] = "true"

Installation

Install langchain_community.

• TODO: Add any other required packages

In [ ]:

%pip install -qU langchain_community

Initialization

Now we can instantiate our model object and load documents:

• TODO: Update model instantiation with relevant params.

In [ ]:

from langchain_community.document_loaders import __ModuleName__Loader

loader = __ModuleName__Loader(
    # required params = ...
    # optional params = ...
)

Load

• TODO: Run cells to show loading capabilities

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docs = loader.load()
docs[0]

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print(docs[0].metadata)

Lazy Load

• TODO: Run cells to show lazy loading capabilities. Delete if lazy loading is not implemented.

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page = []
for doc in loader.lazy_load():
    page.append(doc)
    if len(page) >= 10:
        # do some paged operation, e.g.
        # index.upsert(page)

        page = []

TODO: Any functionality specific to this document loader

E.g. using specific configs for different loading behavior. Delete if not relevant.

API reference

For detailed documentation of all __ModuleName__Loader features and configurations head to the API reference: https://python.langchain.com/v0.2/api_reference/community/document_loaders/langchain_community.document_loaders.__module_name___loader.__ModuleName__Loader.html