[Question]: VectorStoreIndex creation issue from text node

[daniyaniazidev]

Question Validation

• I have searched both the documentation and discord for an answer.

Question

I am following this example https://github.com/run-llama/llama_cloud_services/blob/main/examples/parse/multimodal/multimodal_report_generation.ipynb
and while creating vector index for my text node i am getting this error

[dosubot]

Hello, @daniyaniazidev! I'm here to help you with any bugs, questions, or contributions you have. Let's work together to solve the issue you're facing.

The TypeError you're encountering, indicating that a 'MockValSer' object cannot be converted to 'SchemaSerializer', suggests an issue with the serialization process in the llama_index library. This error is wrapped in a PydanticSerializationError, pointing to a problem with how Pydantic is handling the serialization.

Here are a few steps you can take to troubleshoot and potentially resolve this issue:

1. Check Data Types: Ensure that the data types you're using in your code match the expected types for the custom_model_dump function. The function expects a SerializerFunctionWrapHandler for the handler parameter and a SerializationInfo for the info parameter ^[1].

2. Review the Example Notebook: Since you're following an example from a Jupyter notebook, carefully review the sections related to vector indexing and serialization. Ensure that your implementation aligns with the examples provided, particularly in how data is prepared and passed to the llama_index functions.

3. Pydantic Version: Make sure you are using a compatible version of Pydantic. The llama_index library requires pydantic version >=2.8.0 ^[2].

4. Serialization and Deserialization: The llama_index library uses the JsonSerializer class for handling Pydantic models. Ensure that your data structures are compatible with this serialization approach ^[3].

If these steps do not resolve the issue, consider simplifying your code to isolate the problem or checking for any updates or patches in the llama_index library that might address this specific error.

To continue talking to Dosu, mention @dosu.

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