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[Bug]: TypeError: Can't instantiate abstract class NeptuneAnalyticsVectorStore with abstract method client #17464

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fengmen-amz opened this issue Jan 9, 2025 · 2 comments · Fixed by #17485
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bug Something isn't working triage Issue needs to be triaged/prioritized

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@fengmen-amz
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Bug Description

When following the instruction at https://docs.llamaindex.ai/en/stable/examples/vector_stores/AmazonNeptuneVectorDemo/,

It returns an error message:

TypeError: Can't instantiate abstract class NeptuneAnalyticsVectorStore with abstract method client

I followed the advice in #10697 to start from a clean env and just install llama-index llama-index-vector-stores-neptune

Version

0.12.10

Steps to Reproduce

conda create -n llamaindex python=3.11
conda activate llamaindex
pip install llama-index llama-index-vector-stores-neptune

Then in a new python interpreter
python

from llama_index.vector_stores.neptune import NeptuneAnalyticsVectorStore
graph_identifier = ""
embed_dim = 1536
neptune_vector_store = NeptuneAnalyticsVectorStore(graph_identifier=graph_identifier, embedding_dimension=embed_dim)

Error message:
Python 3.11.11 | packaged by conda-forge | (main, Dec 5 2024, 14:17:24) [GCC 13.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.

from llama_index.vector_stores.neptune import NeptuneAnalyticsVectorStore # pip install llama-index-vector-stores-neptune
graph_identifier = ""
embed_dim = 1536
neptune_vector_store = NeptuneAnalyticsVectorStore(graph_identifier=graph_identifier, embedding_dimension=embed_dim)
Traceback (most recent call last):
File "", line 1, in
TypeError: Can't instantiate abstract class NeptuneAnalyticsVectorStore with abstract method client

Relevant Logs/Tracbacks

(llamaindex) sagemaker-user@cake:pip list | grep -i llama
llama-cloud                             0.1.8
llama-index                             0.12.10
llama-index-agent-openai                0.4.1
llama-index-cli                         0.4.0
llama-index-core                        0.12.10.post1
llama-index-embeddings-openai           0.3.1
llama-index-indices-managed-llama-cloud 0.6.3
llama-index-llms-openai                 0.3.13
llama-index-multi-modal-llms-openai     0.4.2
llama-index-program-openai              0.3.1
llama-index-question-gen-openai         0.3.0
llama-index-readers-file                0.4.2
llama-index-readers-llama-parse         0.4.0
llama-index-vector-stores-neptune       0.3.0
llama-parse                             0.5.19
@fengmen-amz fengmen-amz added bug Something isn't working triage Issue needs to be triaged/prioritized labels Jan 9, 2025
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dosubot bot commented Jan 9, 2025

Hey @fengmen-amz! I'm here to help you out with any bugs, questions, or contributions. Let's tackle this together!

I found a similar discussion that might help resolve your issue. In a previous thread, a similar error was encountered when trying to instantiate an abstract class without implementing the required abstract method [1].

To resolve the error "Can't instantiate abstract class NeptuneAnalyticsVectorStore with abstract method client," you need to provide an implementation for the client method. Here's an example of how you can implement the client method for the NeptuneAnalyticsVectorStore class:

from llama_index.vector_stores.neptune import NeptuneAnalyticsVectorStore

class MyNeptuneAnalyticsVectorStore(NeptuneAnalyticsVectorStore):
    @property
    def client(self):
        # Provide the implementation for the abstract method 'client'
        return None  # or return the actual client instance

# Now you can instantiate MyNeptuneAnalyticsVectorStore
neptune_vector_store = MyNeptuneAnalyticsVectorStore(
    graph_identifier="your_graph_identifier",
    embedding_dimension=1536
)

In this example, MyNeptuneAnalyticsVectorStore is a concrete subclass of NeptuneAnalyticsVectorStore that provides an implementation for the client method. You can then instantiate MyNeptuneAnalyticsVectorStore with the required parameters.

To continue talking to Dosu, mention @dosu.


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@fengmen-amz
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fengmen-amz commented Jan 9, 2025

I suspect it is not because of incomplete implementation. The listed issues have similar error messages, but they are not caused by incomplete implementations.

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