refactor: Organize examples into categorical subdirectories

- Created 4 main category directories for better organization:
  * Core Features/ - Basic LLM operations (4 files)
  * Agent Examples/ - Agent implementations (2 files)
  * Document Processing/ - Document handling (3 files)
  * Requirements Extraction/ - Complete Task 7 pipeline (8 files)

- All 18 example files reorganized into logical categories
- Updated examples/README.md with new folder structure
- All command paths updated to reflect new structure
- Deleted duplicate phase3_integration.py (empty file)

File Moves:
- Core Features: basic_completion.py, chat_session.py, chain_prompts.py, parser_demo.py
- Agent Examples: deepagent_demo.py, config_loader_demo.py
- Document Processing: pdf_processing.py, ai_enhanced_processing.py, tag_aware_extraction.py
- Requirements Extraction: 8 requirements extraction demos (complete pipeline)

Benefits:
- Improved discoverability (logical grouping)
- Better maintainability (clear categories)
- Easier navigation for new users
- Scalable structure for future additions

Verification: Tested requirements_enhanced_output_demo.py - all 12 demos passing (100%)

Task 7 Status: Complete (99-100% accuracy)
Pipeline Version: 1.0.0

Author: vinod0m

examples/config_loader_demo.py …les/Agent Examples/config_loader_demo.pyexamples/config_loader_demo.py renamed to examples/Agent Examples/config_loader_demo.py examples/config_loader_demo.py renamed to examples/Agent Examples/config_loader_demo.py

@@ -44,75 +44,95 @@ examples/
 
 **1. Basic LLM Completion**
 ```bash
-python examples/basic_completion.py
+python "examples/Core Features/basic_completion.py"
 ```
 Simple demonstration of LLM text completion.
 
 **2. Chat Session**
 ```bash
-python examples/chat_session.py
+python "examples/Core Features/chat_session.py"
 ```
 Interactive chat session with conversation history.
 
 **3. Prompt Chaining**
 ```bash
-python examples/chain_prompts.py
+python "examples/Core Features/chain_prompts.py"
 ```
 Chain multiple prompts together for complex workflows.
 
+**4. Parser Demo**
+```bash
+python "examples/Core Features/parser_demo.py"
+```
+Demonstrate various parsing capabilities.
+
+### Agent Examples
+
+**5. Deep Agent**
+```bash
+python "examples/Agent Examples/deepagent_demo.py"
+```
+Advanced agent with planning and execution capabilities.
+
+**6. Configuration Loader**
+```bash
+python "examples/Agent Examples/config_loader_demo.py"
+```
+Load and manage configuration files.
+
 ### Document Processing
 
-**4. PDF Processing**
+**7. PDF Processing**
 ```bash
-python examples/pdf_processing.py
+python "examples/Document Processing/pdf_processing.py"
 ```
 Extract and process PDF documents.
 
-**5. AI-Enhanced Processing**
+**8. AI-Enhanced Processing**
 ```bash
-python examples/ai_enhanced_processing.py
+python "examples/Document Processing/ai_enhanced_processing.py"
 ```
 Advanced document processing with AI enhancements.
 
-**6. Tag-Aware Extraction**
+**9. Tag-Aware Extraction**
 ```bash
-python examples/tag_aware_extraction.py
+python "examples/Document Processing/tag_aware_extraction.py"
 ```
 Extract content based on document tags.
 
 ### Requirements Extraction (Complete Task 7 Pipeline)
 
 The requirements extraction examples demonstrate the complete 6-phase improvement pipeline that achieves 99-100% accuracy:
 
-**7. Basic Requirements Extraction**
+**10. Basic Requirements Extraction**
 ```bash
-python examples/requirements_extraction.py
+python "examples/Requirements Extraction/requirements_extraction.py"
 # or
-python examples/requirements_extraction_demo.py
+python "examples/Requirements Extraction/requirements_extraction_demo.py"
 # or
-python examples/extract_requirements_demo.py
+python "examples/Requirements Extraction/extract_requirements_demo.py"
 ```
 Basic requirements extraction from documents.
 
-**8. Few-Shot Learning (Accuracy: +2-3%)**
+**11. Few-Shot Learning (Accuracy: +2-3%)**
 ```bash
-python examples/requirements_few_shot_learning_demo.py
+python "examples/Requirements Extraction/requirements_few_shot_learning_demo.py"
 ```
 Demonstrates adaptive few-shot learning with 14+ examples across 9 tags:
 - Example selection based on document tags
 - Similarity-based retrieval
 - Performance tracking
 - Adaptive learning
 
-**9. Few-Shot Integration**
+**12. Few-Shot Integration**
 ```bash
-python examples/requirements_few_shot_integration.py
+python "examples/Requirements Extraction/requirements_few_shot_integration.py"
 ```
 Integration of few-shot learning into extraction pipeline.
 
-**10. Enhanced Extraction Instructions (Accuracy: +3-5%)**
+**13. Enhanced Extraction Instructions (Accuracy: +3-5%)**
 ```bash
-python examples/requirements_extraction_instructions_demo.py
+python "examples/Requirements Extraction/requirements_extraction_instructions_demo.py"
 ```
 Comprehensive extraction instructions covering:
 - Requirement identification patterns
@@ -122,19 +142,19 @@ Comprehensive extraction instructions covering:
 - Ambiguity resolution
 - Quality validation
 
-**11. Multi-Stage Extraction (Accuracy: +1-2%)**
+**14. Multi-Stage Extraction (Accuracy: +1-2%)**
 ```bash
-python examples/requirements_multi_stage_extraction_demo.py
+python "examples/Requirements Extraction/requirements_multi_stage_extraction_demo.py"
 ```
 Four-stage extraction pipeline:
 - Stage 1: Explicit requirements (modal verbs, numbered IDs)
 - Stage 2: Implicit requirements (behavioral descriptions)
 - Stage 3: Consolidation (merge and deduplicate)
 - Stage 4: Validation (quality checks)
 
-**12. Enhanced Output with Confidence Scoring (Accuracy: +0.5-1%)**
+**15. Enhanced Output with Confidence Scoring (Accuracy: +0.5-1%)**
 ```bash
-python examples/requirements_enhanced_output_demo.py
+python "examples/Requirements Extraction/requirements_enhanced_output_demo.py"
 ```
 Advanced output structure with:
 - 4-component confidence scoring (0.0-1.0)
@@ -144,26 +164,6 @@ Advanced output structure with:
 - JSON serialization
 - Statistics and filtering
 
-### Agent Examples
-
-**13. Deep Agent**
-```bash
-python examples/deepagent_demo.py
-```
-Advanced agent with planning and execution capabilities.
-
-**14. Configuration Loader**
-```bash
-python examples/config_loader_demo.py
-```
-Load and manage configuration files.
-
-**15. Parser Demo**
-```bash
-python examples/parser_demo.py
-```
-Demonstrate various parsing capabilities.
-
 ## Requirements Extraction Pipeline Integration
 
 To use the complete Task 7 pipeline (99-100% accuracy):
@@ -220,7 +220,7 @@ Before running examples:
 export PYTHONPATH=.
 
 # Or prefix commands
-PYTHONPATH=. python examples/basic_completion.py
+PYTHONPATH=. python "examples/Core Features/basic_completion.py"
 ```
 
 ## Configuration