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Add model configuration options in Langchain RAG local NIM notebook

This commit introduces a new section in the Jupyter notebook that
configures the model options for both chat and embeddings. The
options are defined in dictionaries to streamline the initialization
of the ChatNVIDIA and NVIDIAEmbeddings instances.

And also installs the missing pip packages

This commit introduces a new section in the Jupyter notebook that
configures the model options for both chat and embeddings. The
options are defined in dictionaries to streamline the initialization
of the `ChatNVIDIA` and `NVIDIAEmbeddings` instances.

The changes include:

- Added a markdown cell for clear documentation of model options.
- Introduced `chat_model_options` and `embeddings_model_options`
  dictionaries for better parameter management.
- Updated the instantiation of `ChatNVIDIA` and `NVIDIAEmbeddings`
  to use the new options, enhancing code readability and maintainability
  by avoiding duplicate declaration
Added the installation command for `langchain-core` and
`langchain-community` to the setup instructions in the
RAG_Langchain_with_Local_NIM notebook.

- Added `langchain-core==0.2.6` and `langchain-community`
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