Is there a way to save nodes?

@kapa.ai Is there a way to save nodes?

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Please stand by @node0 as I search the knowledge base. I normally take about 20 seconds or so. :wave:

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Yes, there is a way to save nodes in LlamaIndex. The docstore.persist() method is used to save the nodes, which are stored in a document store. Here is an example of how to save nodes:

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# save our docstore nodes for bm25
docstore.persist("./docstore.json")

This code will save the nodes to a file named "docstore.json". You can replace "./docstore.json" with your desired file path.

You can find more details about this in the LlamaIndex documentation ().

Additionally, if you want to save metadata dictionaries, you can use the save_metadata_dicts() function:

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def save_metadata_dicts(path, data):
    with open(path, "w") as fp:
        json.dump(data, fp)

This function will save the metadata dictionaries to a file at the specified path. You can replace "path" with your desired file path and "data" with the metadata dictionaries you want to save.

You can find more details about this in the LlamaIndex documentation ().
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nnode0

@kapa.ai Can I save the nodes without putting them in a document store?

kkapa.ai

Let me check the knowledge base for you. One moment! :books:

kkapa.ai

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Based on the provided knowledge sources, nodes in LlamaIndex are typically managed and saved using a document store. The document store is a data structure that contains ingested document chunks, referred to as Node objects.

For instance, the SimpleDocumentStore stores Node objects in-memory and they can be persisted to (and loaded from) disk by calling docstore.persist().

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docstore.persist("./docstore.json")

There are also other types of document stores like RedisDocumentStore, MongoDB, Firestore, and DynamoDB that persist data as Node objects are ingested.

However, the knowledge sources do not provide information on saving nodes without using a document store. It's recommended to use the document store for managing and persisting nodes in LlamaIndex.

For more details, you can refer to the LlamaIndex documentation ().
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Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:
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nnode0

@kapa.ai Can I extract nodes from a document store?

kkapa.ai

Let me check the knowledge base for you. One moment! :books:

kkapa.ai

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Yes, you can extract nodes from a document store in LlamaIndex. The get_all_documents() method is used to retrieve all documents (or nodes) from the document store. Here is an example of how to extract nodes:

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# retrieve all documents from the document store
documents = docstore.get_all_documents()

This code will retrieve all documents (or nodes) from the document store and store them in the documents variable.

Please note that the specific method to retrieve documents may vary depending on the type of document store you are using. For instance, if you are using a RedisDocumentStore or MongoDocumentStore, you might need to use a different method to retrieve documents.

For more details, you can refer to the LlamaIndex documentation ().
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Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:
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Is there a way to save nodes?