Add Support for Auto Retrival Evaluation of different RAG techniques

[adithya-s-k]

Issue: Add .evaluate and .generate_eval_dataset Methods for RAG Pipelines

Description:
Enhance the RAG framework by implementing .evaluate and .generate_eval_dataset methods to enable easy and automated evaluation of different RAG pipelines.

Requirements:

1. .evaluate Method:

   • Allow users to benchmark retrieval performance using standard metrics (e.g., Precision, Recall, F1).
   • Support configuration for top-k retrieval and similarity scoring.

2. .generate_eval_dataset Method:

   • Automatically create datasets for evaluation with annotated ground truth queries and responses.
   • Include support for custom datasets.

3. Integration:

   • Seamlessly integrate with existing RAG pipelines.

Impact:
Simplifies evaluation workflows and helps compare RAG pipeline performance effectively.

Priority: Medium