[Bug]: Initialization of TimescaleVectorStore

[ewx-mjanda]

Bug Description

Currently exploring using TimeScaleVectorStore for some work with AI time series. Getting the below error message using just the documentation examples:

Exception has occurred: TypeError Can't instantiate abstract class TimescaleVectorStore with abstract method client File "/home/mjanda/dev/llama/src/TestCase.py", line 9, in vector_store = TimescaleVectorStore.from_params( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ TypeError: Can't instantiate abstract class TimescaleVectorStore with abstract method client

Version

0.11.17

Steps to Reproduce

import os from dotenv import find_dotenv, load_dotenv from llama_index.vector_stores.timescalevector import TimescaleVectorStore

_ = load_dotenv(find_dotenv())

TIMESCALE_SERVICE_URL = os.environ["TIMESCALE_SERVICE_URL"]

vector_store = TimescaleVectorStore.from_params( service_url=TIMESCALE_SERVICE_URL, table_name="TestTable", num_dimensions=1536, # Adjust this based on your requirements )

Relevant Logs/Tracbacks

No response

[dosubot[bot]]

Hello @ewx-mjanda! I'm here to help you with any bugs, questions, or contributions. Let's work together to resolve the issue you're facing.

I couldn't find a specific solution for the TimescaleVectorStore class regarding the client method, but a similar issue was discussed for the VectorStore2 class. In that case, the error "Can't instantiate abstract class with abstract method 'client'" was resolved by providing an implementation for the client method in a subclass ^[1].

You might need to create a subclass of TimescaleVectorStore and implement the client method. Here's a general approach you can try:

from llama_index.vector_stores.timescalevector import TimescaleVectorStore

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

# Use MyTimescaleVectorStore instead of TimescaleVectorStore
vector_store = MyTimescaleVectorStore.from_params(
    service_url=TIMESCALE_SERVICE_URL,
    table_name="TestTable",
    num_dimensions=1536,
)

This example shows how to create a concrete subclass that implements the client method. You will need to replace None with the actual client instance or logic required for your use case.

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