Error creating vector store: 'module' object is not callable

[DiogoR23]

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Example Code:

def create_vstore(session):
    """
    Create a Cassandra Vector Store from a session.
    Store those Embeddings into the table.
    """
    try:
        logging.debug("Creating OpenAIEmbeddings...")
        embeddings = OpenAIEmbeddings(
            api_key=OPENAI_API_KEY,
            base_url=BASE_URL,
            model="nomic-ai/nomic-embed-text-v1.5-GGUF",
            check_embedding_ctx_length=False
        )
        logging.debug("OpenAIEmbeddings created successfully.")

        logging.debug("Creating Cassandra vector store...")
        vstore = Cassandra(
            embedding=embeddings,
            session=session,
            keyspace=KEYSPACE_ARTICLE,
            table_name="my_vector_store"
        )
        logging("Cassandra vector store created successfully.")

        return vstore

    except Exception as e:
        logging.error(f"Error creating vector store: {e}")
        return None

Description

Hello everyone, I am trying to create a Cassandra Vector Store from my own session, so I imported Cassandra from langchain_community.vectorstores. But it appears me this error, I do not know why.

Can someone help me?

System Info

Python version: 3.10.12
Poetry Show:

[tool.poetry.dependencies]
python = "^3.10"
pytest-playwright = "^0.5.1"
cassandra-driver = "^3.29.1"
playwright = "^1.45.0"
beautifulsoup4 = "^4.12.3"
lxml = "^5.2.2"
langchain = {extras = ["all"], version = "^0.2.5"}
jsonpatch = "^1.33"
jsonpointer = "^2.4"
langchain-astradb = "*"
langchain-community = "*"
langchain-core = "*"
langchain-openai = "*"
langchain-text-splitters = "*"
langchainhub = "*"
langsmith = "*"
numpy = "*"
openai = "*"
python-dotenv = "*"
requests = "*"
nltk = "*"
tenacity = "*"
langchain-experimental = "^0.0.61"
astrapy = "^1.2.1"
bson = "^0.5.10"
transformers = "^4.41.2"
langchain-huggingface = "^0.0.3"
text-generation = "^0.7.0"
cassio = "^0.1.8"

[dosubot[bot]]

Hello, @DiogoR23! I'm here to assist you with any bugs, questions, or contribution opportunities. Let's work together to resolve this issue.

To resolve the error 'module' object is not callable when trying to create a Cassandra Vector Store, ensure you are correctly importing and using the Cassandra class from the langchain_community.vectorstores module. Here is the corrected code:

from langchain_community.vectorstores import Cassandra
from langchain_openai import OpenAIEmbeddings

def create_vstore(session):
    """
    Create a Cassandra Vector Store from a session.
    Store those Embeddings into the table.
    """
    try:
        logging.debug("Creating OpenAIEmbeddings...")
        embeddings = OpenAIEmbeddings(
            api_key=OPENAI_API_KEY,
            base_url=BASE_URL,
            model="nomic-ai/nomic-embed-text-v1.5-GGUF",
            check_embedding_ctx_length=False
        )
        logging.debug("OpenAIEmbeddings created successfully.")

        logging.debug("Creating Cassandra vector store...")
        vstore = Cassandra(
            embedding=embeddings,
            session=session,
            keyspace=KEYSPACE_ARTICLE,
            table_name="my_vector_store"
        )
        logging.debug("Cassandra vector store created successfully.")

        return vstore

    except Exception as e:
        logging.error(f"Error creating vector store: {e}")
        return None

Make sure you are importing the Cassandra class and not trying to call the module itself ^[1].

To continue talking to Dosu, mention @dosu.

[DiogoR23]

@dosu I imported the Cassandra class correctly, but it appears me the same error.

[dosubot[bot]]

Ensure that you have the cassio library installed and properly configured, as it is required for the Cassandra class to function correctly. You can install it using:

pip install cassio

Additionally, make sure you are using a compatible version of the cassio library. The required version is >=0.1.6:

pip install --upgrade cassio>=0.1.6

If the issue persists, double-check that you are not mistakenly trying to call a module instead of a class. The error typically occurs if you try to use a module name as if it were a callable class or function. Here is the correct way to import and instantiate the Cassandra class:

from langchain_community.vectorstores import Cassandra

vstore = Cassandra(
    embedding=embeddings,
    session=session,
    keyspace=KEYSPACE_ARTICLE,
    table_name="my_vector_store"
)

If you have verified all the above steps and the error still occurs, please provide more details about your environment and the exact code you are using. This will help in diagnosing the issue further ^[1][2].

To continue talking to Dosu, mention @dosu.

[DiogoR23]

@dosu, I am working with poetry:

[tool.poetry.dependencies]
python = "^3.10"
pytest-playwright = "^0.5.1"
cassandra-driver = "^3.29.1"
playwright = "^1.45.0"
beautifulsoup4 = "^4.12.3"
lxml = "^5.2.2"
langchain = {extras = ["all"], version = "^0.2.5"}
jsonpatch = "^1.33"
jsonpointer = "^2.4"
langchain-astradb = "*"
langchain-community = "*"
langchain-core = "*"
langchain-openai = "*"
langchain-text-splitters = "*"
langchainhub = "*"
langsmith = "*"
numpy = "*"
openai = "*"
python-dotenv = "*"
requests = "*"
nltk = "*"
tenacity = "*"
langchain-experimental = "^0.0.61"
astrapy = "^1.2.1"
bson = "^0.5.10"
transformers = "^4.41.2"
langchain-huggingface = "^0.0.3"
text-generation = "^0.7.0"
cassio = "^0.1.8"

[dosubot[bot]]

The error 'module' object is not callable typically occurs when you try to call a module as if it were a function. Based on the provided context, it seems you are correctly importing the Cassandra class from the langchain_community.vectorstores module. However, the error might be due to an incorrect instantiation or usage of the Cassandra class.

Here is a correct example of how to instantiate and use the Cassandra class:

from langchain_community.vectorstores import Cassandra
from langchain_openai import OpenAIEmbeddings
from cassandra.cluster import Cluster

# Create your Cassandra session object
cluster = Cluster(['127.0.0.1'])  # Replace with your Cassandra cluster IP
session = cluster.connect()

# Define your keyspace and table name
keyspace = 'my_keyspace'  # The keyspace should exist already
table_name = 'my_vector_store'

# Create an instance of OpenAIEmbeddings
embeddings = OpenAIEmbeddings()

# Instantiate the Cassandra vector store
vectorstore = Cassandra(embedding=embeddings, session=session, keyspace=keyspace, table_name=table_name)

Ensure that:

1. You have correctly imported the necessary classes and modules.
2. You are passing the correct parameters to the Cassandra class constructor.

If you follow the above example and still encounter the error, double-check the versions of the libraries you are using to ensure compatibility.

Additionally, based on the new document, it appears that the Cassandra class is dynamically imported using a deprecated lookup mechanism in the langchain.vectorstores.cassandra module. This means that the Cassandra class is being imported from langchain_community.vectorstores through a dynamic import mechanism. Ensure that the langchain_community.vectorstores module is correctly installed and accessible in your environment. You can also try importing other classes from the same module to verify that the module is being imported correctly ^[1][2][3].

To continue talking to Dosu, mention @dosu.