v0.1.0: RAG and Enhanced Documentation

Major refactoring of the RAG (Retrieval-Augmented Generation) implementation to use a consistent Ollama-based embedding source for both document loading and querying, resolving a key consistency issue.
Centralized common utility functions (e.g., configuration loading, Ollama embedding generation) into a new utils.py module for improved modularity.
Updated config.json and requirements.txt to support the new architecture.
Comprehensive update of README.md, including an improved introduction, detailed sections on SQL script customization, and an advanced note comparing RAG and Fine-Tuning.