Implement RAG Support System

[stephen-cox]

Overview

Add comprehensive Retrieval-Augmented Generation (RAG) capabilities to Nova AI Assistant, enabling it to leverage external knowledge bases, documents, and data sources to provide more accurate, up-to-date, and contextually relevant responses.

Phase 3 Features (Quick Wins - Weeks 26-31)

• Document processing pipeline (PDF, MD, TXT, DOCX, HTML)
• Vector storage with ChromaDB integration
• Intelligent chunking strategies (semantic, structural, adaptive)
• Context-aware retrieval and response generation
• Multi-source knowledge integration
• Chat integration with automatic RAG triggers
• Knowledge base management commands

Success Criteria

• RAG system processing documents by week 27
• Quality context retrieval functional by week 29
• Document indexing speed: 100+ docs/minute
• Query response time: < 2 seconds (95th percentile)

Timeline

Week 26-27: Document processing and vector storage
Week 28-29: Intelligent retrieval and context integration
Week 30-31: Advanced features and optimization

Related Plans

• Detailed implementation plan: .claude/plans/rag-support-feature.md
• Quick wins roadmap: .claude/plans/quick-wins-roadmap.md

Priority

🎯 P2 - Phase 3 Productivity Assistant