Pickle/Json dump document(s)

[KylePancamo]

Hello,

I am looking to dump large documents into a file after loading them into memory. However, I am unfamiliar with pickling/dumping objects in python. In case there's an error after loading the documents, I don't want to reload them since they can take upwards fo 10+ minutes, or more. I noticed the Document class is serializable. Do I need to convert each document into json first using to_json, or will json_dump/pickle_dump call this method on the object?

[dosubot[bot]]

🤖

Hello,

Yes, you're correct. The Document class in LangChain is serializable as it inherits from the Serializable class. This means you can serialize and deserialize instances of the Document class without needing to convert them to JSON first.

The Serializable class typically provides methods for serialization and deserialization. While the exact methods aren't shown in the provided context, you would typically call a method like to_json or serialize to serialize an instance of the Document class, and a method like from_json or deserialize to deserialize it.

However, please note that the actual method names and usage might vary and are not shown in the provided context. You might want to check the documentation or source code of the Serializable class for the exact methods and their usage.

As for your concern about not wanting to reload large documents in case of an error, serializing the documents after loading them into memory is indeed a good approach. You can serialize each document after it's loaded, and then if there's an error, you can simply deserialize the serialized document, which should be much faster than reloading the document.

Here's a simple example of how you might do this:

# Load the document
document = load_document()

# Serialize the document
serialized_document = document.serialize()

# Save the serialized document to a file
with open('document.pkl', 'wb') as f:
    pickle.dump(serialized_document, f)

# Later, if there's an error, you can load the serialized document from the file
with open('document.pkl', 'rb') as f:
    serialized_document = pickle.load(f)

# And then deserialize it
document = Document.deserialize(serialized_document)

Please replace serialize, deserialize, load_document with the actual methods provided by the LangChain framework.

I hope this helps! Let me know if you have any other questions.

Sources

• libs/langchain/langchain/schema/document.py

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