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how can I get all nodes from a docstore asynchronously? The docstore is in PGVector (keyva

@kapa.ai how can I get all nodes from a docstore asynchronously? The docstore is in PGVector (keyval_docstore)
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Please stand by @ispan3tz as I search the knowledge base. I normally take about 20 seconds or so. :wave:
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I'm sorry, but the provided knowledge sources do not contain information on how to asynchronously get all nodes from a PGVector keyval_docstore in LlamaIndex. The sources mention methods for getting nodes from a vector store and adding documents to a simple document store, but there's no specific information on the requested operation with a PGVector keyval_docstore.

For more detailed information, you may want to refer to the LlamaIndex documentation ().
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@kapa.ai @kapa.ai how can I get all nodes from a docstore asynchronously?
Let me check the knowledge base for you. One moment! :books:
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To get all nodes from a document store asynchronously, you can use the aget_nodes method from the BasePydanticVectorStore class in LlamaIndex. This method allows you to asynchronously retrieve nodes from the vector store. Here is an example of how you can use it:

Plain Text
from llama_index.core.vector_stores.types import BasePydanticVectorStore

# Assuming you have an instance of BasePydanticVectorStore
vector_store = BasePydanticVectorStore()

# Get nodes asynchronously
nodes = await vector_store.aget_nodes(node_ids, filters)


In the code above, node_ids is an optional list of node IDs to retrieve, and filters is an optional instance of MetadataFilters to apply.

However, please note that this method is for getting nodes from a vector store, not a document store. The provided knowledge sources do not contain information on how to asynchronously get all nodes from a document store. For more detailed information, you may want to refer to the LlamaIndex documentation ().

Source: 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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@kapa.ai what if I dont have a list of node_ids?
Let me check the knowledge base for you. One moment! :books:
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If you don't have a list of node_ids, you can still use the aget_nodes method without it. The node_ids parameter is optional. If not provided, the method will retrieve all nodes. Here's how you can do it:

Plain Text
from llama_index.core.vector_stores.types import BasePydanticVectorStore

# Assuming you have an instance of BasePydanticVectorStore
vector_store = BasePydanticVectorStore()

# Get all nodes asynchronously
nodes = await vector_store.aget_nodes()


In this case, the method will return all nodes from the vector store.

However, please note that this method is for getting nodes from a vector store, not a document store. The provided knowledge sources do not contain information on how to asynchronously get all nodes from a document store without a list of node IDs. For more detailed information, you may want to refer to the LlamaIndex documentation ().

Source: 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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@kapa.ai in my case it is BaseDocumentStore
Let me check the knowledge base for you. One moment! :books:
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To get all nodes from a BaseDocumentStore asynchronously, you can use the aget_nodes method. This method allows you to asynchronously retrieve nodes from the document store. Here is an example of how you can use it:

Plain Text
from llama_index.core.storage.docstore.types import BaseDocumentStore

# Assuming you have an instance of BaseDocumentStore
docstore = BaseDocumentStore()

# Get nodes asynchronously
nodes = await docstore.aget_nodes(node_ids)


In the code above, node_ids is a list of node IDs to retrieve. If you don't have a list of node IDs, you would need to first retrieve all the node IDs from the document store. However, the provided knowledge sources do not contain information on how to retrieve all node IDs from a BaseDocumentStore.

For more detailed information, you may want to refer to the LlamaIndex documentation ().

Source: 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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