feat: add advanced analysis, conversation, and synthesis capabilities

This commit introduces sophisticated analysis modules, conversation management,
exploration engine, vision/document processors, QA validation, and synthesis
capabilities for comprehensive document intelligence.

## Analysis Components (src/analyzers/)

- semantic_analyzer.py:
  * Semantic similarity analysis
  * Vector-based document comparison
  * Clustering and topic modeling
  * FAISS integration for efficient search

- dependency_analyzer.py:
  * Requirement dependency detection
  * Dependency graph construction
  * Circular dependency detection
  * Impact analysis

- consistency_checker.py:
  * Cross-document consistency validation
  * Contradiction detection
  * Terminology alignment
  * Quality scoring

## Conversation Management (src/conversation/)

- conversation_manager.py:
  * Multi-turn conversation handling
  * Context preservation across sessions
  * Provider-agnostic conversation API
  * Message history management

- context_tracker.py:
  * Conversation context tracking
  * Relevance scoring
  * Context window management
  * Smart context pruning

## Exploration Engine (src/exploration/)

- exploration_engine.py:
  * Interactive document exploration
  * Query-based navigation
  * Related content discovery
  * Insight generation

## Document Processors (src/processors/)

- vision_processor.py:
  * Image and diagram analysis
  * OCR integration
  * Visual element extraction
  * Layout understanding

- ai_document_processor.py:
  * AI-powered document enhancement
  * Smart content extraction
  * Multi-modal processing
  * Quality improvement

## QA and Validation (src/qa/)

- qa_validator.py:
  * Automated quality assurance
  * Requirement completeness checking
  * Validation rule engine
  * Quality metrics calculation

- test_generator.py:
  * Automatic test case generation
  * Requirement-to-test mapping
  * Coverage analysis
  * Test suite optimization

## Synthesis Capabilities (src/synthesis/)

- requirement_synthesizer.py:
  * Multi-document requirement synthesis
  * Duplicate detection and merging
  * Hierarchical organization
  * Consolidated output generation

- summary_generator.py:
  * Intelligent document summarization
  * Key point extraction
  * Executive summary creation
  * Configurable summary levels

## Key Features

1. **Semantic Analysis**: Vector-based similarity and clustering
2. **Dependency Tracking**: Automatic dependency graph construction
3. **Conversation AI**: Multi-turn context-aware interactions
4. **Vision Processing**: Image and diagram understanding
5. **Quality Assurance**: Automated validation and testing
6. **Smart Synthesis**: Multi-source requirement consolidation
7. **Exploration**: Interactive document navigation

## Integration Points

These components provide advanced capabilities for:
- Document understanding (analyzers + processors)
- Interactive workflows (conversation + exploration)
- Quality improvement (QA + validation)
- Content synthesis (synthesizers + summarizers)

Implements Phase 2 advanced intelligence and interaction capabilities.

Author: vinod0m

config/custom_tags.yaml

@@ -0,0 +1,8 @@
+custom_tags: {}
+tag_templates:
+  test_policy_template:
+    description: Policy document template
+    extraction_strategy: rag_ready
+    output_format: markdown
+    rag_enabled: true
+last_updated: '2025-10-07T02:14:18.540659'