Lesson5 refactor

[ShivamGoyal03]

Updated Lesson 5 Agentic RAG with 2-3 different plugins, here, WeatherInfoPlugin to show different scenarios of using Semantic Kernel in RAG

Pending tasks

• Autogen w ChromaDB is yet to be completed

[github-actions]

👋 Thanks for contributing @ShivamGoyal03! We will review the pull request and get back to you soon.

PR Overview

This PR refactors Lesson 5 Agentic RAG by integrating a new WeatherInfoPlugin and updating various documentation and code samples.

• Revised wording in README files for clarity
• Adjusted execution counts and minor code reorganizations in the notebooks
• Added a unified RAG function that incorporates weather data alongside document retrieval

Reviewed Changes

File	Description
02-explore-agentic-frameworks/README.md	Updated phrasing for clarity in lesson objectives
00-course-setup/README.md	Minor text adjustment from "code" to "course"
06-building-trustworthy-agents/README.md	Corrected description text for the travel agent prompt
05-agentic-rag/code_samples/05-semantic-kernel-azuresearch.ipynb	Updated execution counts and minor formatting fixes
05-agentic-rag/code_samples/05-autogen-azuresearch.ipynb	Introduced unified RAG function with weather integration and updated cell executions

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05-agentic-rag/code_samples/05-autogen-azuresearch.ipynb:309

• Ensure that the 'documents' variable is properly defined in the current scope before using copy() to avoid a potential NameError at runtime.

combined_context = documents.copy()  # Start with travel documents