Implement RAG Support System #9
Description
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