how do I call all points in a qdrant vector

how do I call all points in a qdrant vector_store

11 comments

Please stand by @BC 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 call all points in a Qdrant vector store. However, you can interact with the Qdrant vector store using the QdrantVectorStore class in LlamaIndex. This class provides methods for storing and querying vectors in a Qdrant collection.

Here is an example of how to create a Qdrant vector store:

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import qdrant_client
from llama_index.vector_stores.qdrant import QdrantVectorStore

client = qdrant_client.QdrantClient()
vector_store = QdrantVectorStore(
    collection_name="example_collection", client=client
)

(Source: LlamaIndex API Reference ())

For more detailed information on how to interact with a Qdrant vector store, please refer to the LlamaIndex documentation ().
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BBC

@kapa.ai how do I get all nodes in qdrantvectorstore because get_nodes isnt a function

kkapa.ai

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

kkapa.ai

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The get_nodes and aget_nodes methods are indeed part of the QdrantVectorStore class in LlamaIndex. These methods are used to retrieve nodes from the index.

Here is the signature of the get_nodes method:

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get_nodes(node_ids: Optional[List[str]] = None, filters: Optional[MetadataFilters] = None, limit: Optional[int] = None) -> List[BaseNode]

And here is the signature of the aget_nodes method:

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aget_nodes(node_ids: Optional[List[str]] = None, filters: Optional[MetadataFilters] = None, limit: Optional[int] = None) -> List[BaseNode]

Both methods take the following parameters:

node_ids: An optional list of node IDs to retrieve.
filters: Optional metadata filters to apply.
limit: An optional limit on the number of nodes to retrieve.

They return a list of nodes retrieved from the index.

Here is an example of how you might use the get_nodes method:

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node_ids = ["node1", "node2", "node3"]
nodes = vector_store.get_nodes(node_ids=node_ids)

In this example, nodes will be a list of the nodes with the IDs "node1", "node2", and "node3".

Please refer to the LlamaIndex documentation () for more information.
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BBC

@kapa.ai this is what it looks like:
def get_nodes(
self,
node_ids: Optional[List[str]] = None,
filters: Optional[MetadataFilters] = None,
) -> List[BaseNode]:
"""Get nodes from vector store."""
raise NotImplementedError("get_nodes not implemented")

kkapa.ai

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

kkapa.ai

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It appears that you're using a base or abstract class that has the get_nodes method not implemented. This is a common pattern in object-oriented programming where a base class defines a method's signature but leaves the implementation to its subclasses.

In the case of LlamaIndex, the get_nodes method is implemented in the QdrantVectorStore subclass. If you're using QdrantVectorStore, you should be able to call get_nodes without seeing a NotImplementedError.

Here's an example of how you might use it:

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from llama_index.vector_stores.qdrant import QdrantVectorStore

# Assuming you have a QdrantVectorStore instance
vector_store = QdrantVectorStore(...)

# You can then call get_nodes
nodes = vector_store.get_nodes(node_ids=["node1", "node2"])

If you're seeing a NotImplementedError, it might be because you're using a different subclass of BasePydanticVectorStore (or another base class) that doesn't implement get_nodes. In that case, you would need to use a subclass that does implement this method, like QdrantVectorStore.

For more information, please 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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BBC

@kapa.ai get_nodes is not an option as its not implemented specified in the code

kkapa.ai

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

kkapa.ai

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I see, it seems like you're using a base class or a specific implementation where the get_nodes method is not implemented. In object-oriented programming, it's common for base classes to define a method signature, like get_nodes, but not provide an implementation. This is indicated by the raise NotImplementedError("get_nodes not implemented") line you're seeing.

In the case of LlamaIndex, the get_nodes method is implemented in some specific subclasses of the base class. For example, in the QdrantVectorStore subclass, the get_nodes method is implemented and can be used to retrieve nodes from the vector store.

If you're using a class where get_nodes is not implemented, you would need to switch to a class where it is implemented, or implement it yourself in a custom subclass.

Here's an example of how get_nodes is implemented in the QdrantVectorStore subclass:

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def get_nodes(
    self,
    node_ids: Optional[List[str]] = None,
    filters: Optional[MetadataFilters] = None,
    limit: Optional[int] = None,
) -> List[BaseNode]:
    # Implementation details...

(Source: LlamaIndex API Reference - QdrantVectorStore.get_nodes ())

If you need more specific help, could you please provide more details about the class you're using and what you're trying to achieve?
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