refactor: Update rag_reasoning_agent to use Google Gemini and enhance knowledge management

- Replaced Claude model with Gemini for improved language processing.
- Updated knowledge management by replacing UrlKnowledge with Knowledge class.
- Enhanced session state handling to prevent duplicate URL loading.
- Adjusted README to reflect changes in API key requirements and default knowledge sources.
- Updated requirements.txt to specify a minimum version for the 'agno' package.

rag_tutorials/agentic_rag_with_reasoning/README.md

@@ -1,13 +1,14 @@
 # 🧐 Agentic RAG with Reasoning
-A sophisticated RAG system that demonstrates an AI agent's step-by-step reasoning process using Agno, Claude and OpenAI. This implementation allows users to upload documents, add web sources, ask questions, and observe the agent's thought process in real-time.
+A sophisticated RAG system that demonstrates an AI agent's step-by-step reasoning process using Agno, Gemini and OpenAI. This implementation allows users to add web sources, ask questions, and observe the agent's thought process in real-time with reasoning capabilities.
 
 
 ## Features
 
 1. Interactive Knowledge Base Management
-- Upload documents to expand the knowledge base
 - Add URLs dynamically for web content
+- Default knowledge source: MCP vs A2A Protocol article
 - Persistent vector database storage using LanceDB
+- Session state tracking prevents duplicate URL loading
 
 
 2. Transparent Reasoning Process
@@ -23,24 +24,25 @@ A sophisticated RAG system that demonstrates an AI agent's step-by-step reasonin
 
 ## Agent Configuration
 
-- Claude 3.5 Sonnet for language processing
+- Gemini 2.5 Flash for language processing
 - OpenAI embedding model for vector search
 - ReasoningTools for step-by-step analysis
 - Customizable agent instructions
+- Default knowledge source: MCP vs A2A Protocol article
 
 ## Prerequisites
 
 You'll need the following API keys:
 
-1. Anthropic API Key
+1. Google API Key
 
-- Sign up at console.anthropic.com
+- Sign up at [aistudio.google.com](https://aistudio.google.com/apikey)
 - Navigate to API Keys section
 - Create a new API key
 
 2. OpenAI API Key
 
-- Sign up at platform.openai.com
+- Sign up at [platform.openai.com](https://platform.openai.com/)
 - Navigate to API Keys section
 - Generate a new API key
 
@@ -64,35 +66,40 @@ You'll need the following API keys:
 
 4. **Configure API Keys:**
 
-- Enter your Anthropic API key in the first field
+- Enter your Google API key in the first field
 - Enter your OpenAI API key in the second field
 - Both keys are required for the app to function
 
 
 5. **Use the Application:**
 
+- Default Knowledge Source: The app comes pre-loaded with the MCP vs A2A Protocol article
 - Add Knowledge Sources: Use the sidebar to add URLs to your knowledge base
+- Suggested Prompts: Click the prompt buttons (What is MCP?, MCP vs A2A, Agent Communication) for quick questions
 - Ask Questions: Enter queries in the main input field
-- View Reasoning: Watch the agent's thought process unfold in real-time
-- Get Answers: Receive comprehensive responses with source citations
+- View Reasoning: Watch the agent's thought process unfold in real-time in the left panel
+- Get Answers: Receive comprehensive responses with source citations in the right panel
 
 ## How It Works
 
-The application uses a sophisticated RAG pipeline:
+The application uses a sophisticated RAG pipeline with Agno v2.0:
 
 ### Knowledge Base Setup
-- Documents are loaded from URLs using WebBaseLoader
-- Text is chunked and embedded using OpenAI's embedding model 
+- Documents are loaded from URLs using Agno's Knowledge class
+- Text is automatically chunked and embedded using OpenAI's embedding model 
 - Vectors are stored in LanceDB for efficient retrieval
 - Vector search enables semantic matching for relevant information
+- URLs are tracked in session state to prevent duplicate loading
 
 ### Agent Processing
 - User queries trigger the agent's reasoning process
 - ReasoningTools help the agent think step-by-step
 - The agent searches the knowledge base for relevant information
-- Claude 4 Sonnet generates comprehensive answers with citations
+- Gemini 2.5 Flash generates comprehensive answers with citations
+- Streaming events provide real-time updates on reasoning and content
 
 ### UI Flow
-- Enter API keys → Add knowledge sources → Ask questions
-- Reasoning process and answer generation displayed side-by-side
-- Sources cited for transparency and verification
+- Enter API keys → Knowledge base loads with default MCP vs A2A article → Use suggested prompts or ask custom questions
+- Reasoning process displayed in left panel, answer generation in right panel
+- Sources cited for transparency and verification
+- All events streamed in real-time for better user experience