[Docs]: complement documentation with outputs of a llm trained on FEDOT examples

## Motivation
Leveraging large language models (LLMs) to generate framework documentation offers several key benefits:
- Improved consistency and coherence across the documentation corpus, ensuring a cohesive user experience.
- Distillation of complex concepts into clear, concise explanations, enhancing accessibility.
- As frameworks grow, LLMs can automatically generate and update documentation, reducing maintenance overhead.
- The LLM-generated documentation can be iteratively refined based on user feedback, keeping it up-to-date and relevant.

## Suggestion
Utilize the RAG approach with an LLM-agent trained on the framework's application examples to generate documentation.