[Roadmap] Advanced Features Post-P3 Production Excellence

[VirtualAgentics]

Description

This meta-issue tracks the advanced features roadmap for ContextForge Memory after completing the P0-P3 production readiness issues. This represents the path from "production ready" to "production excellent."

Background

After completing the foundational P0-P3 issues (persistence, safety, quality, operations), the next phase focuses on advanced features that enhance retrieval quality, performance, enterprise capabilities, and operational excellence.

Roadmap Document

📋 Advanced Features Roadmap

This comprehensive roadmap document outlines 4 phases of advanced enhancements:

Phase 4: Retrieval Excellence (Q3-Q4 2026)

• Time-aware scoring & source weighting
• Quality signals loop (click-through tracking)
• Smart chunking with document fusion
• Dedup & near-dup control
• Multi-embedding fusion

Phase 5: Performance & Scale (Q1 2027)

• ANN tuning presets & quantization
• Auto-batcher for provider calls
• Warm/cold tiering strategies
• Zero-downtime migrations

Phase 6: Enterprise Features (Q2 2027)

• Tenant isolation with RLS
• Envelope encryption
• Content policy enforcement
• Comprehensive audit trail

Phase 7: Operational Excellence (Q3 2027)

• Golden dashboards
• Offline eval harness
• Explain API
• Data lifecycle management

Prerequisites

• All P0 issues completed (persistence, sessions, metrics, rate limiting)
• All P1 issues completed (safety, contracts, type safety)
• All P2 issues completed (hybrid search, chunking, re-ranking)
• All P3 issues completed (K8s, MCP, batch endpoints)
• Production deployment running for 3+ months
• Usage data and feedback collected

Quick-Win Enhancements (During P0-P3)

These enhancements can be implemented alongside P0-P3 work:

• Issue [P2-Enhancement] Add time-decay and source weighting to hybrid search #68: [P2-Enhancement] Add time-decay and source weighting to hybrid search
• Issue [P0-Enhancement] Add embedding cache with Redis backend #69: [P0-Enhancement] Add embedding cache with Redis backend
• Issue [P3-Enhancement] Add idempotency keys to store/upsert endpoints #70: [P3-Enhancement] Add idempotency keys to store/upsert endpoints
• Issue [P1-Enhancement] Add content policy and payload limits enforcement #71: [P1-Enhancement] Add content policy and payload limits enforcement
• Issue [P2-Enhancement] Add explain API for search result debugging #72: [P2-Enhancement] Add explain API for search result debugging

Review Schedule

• Quarterly Reviews: Assess progress and reprioritize based on production learnings
• Annual Planning: Major roadmap updates based on market changes and user feedback
• Community Feedback: Incorporate user input and feature requests
• Technology Updates: Adapt to new technologies and best practices

Success Metrics

• Performance: <80ms p95 search latency at 10 QPS
• Quality: NDCG@10 >0.8 on evaluation set
• Reliability: 99.9% uptime in production
• Cost: <$0.01 per 1000 searches
• Scalability: Support 100k+ documents per namespace

Decision Gates

Before implementing advanced features:

1. P0-P3 Completion: All production-critical issues resolved
2. Production Metrics: 3+ months of production data
3. User Feedback: Validated feature priorities
4. Team Capacity: Dedicated resources available
5. Business Value: Clear ROI for each feature

Related Issues

• Prerequisites: Issues [P0] Add pluggable vector index backend (FAISS/pgvector/Weaviate) #51-67 (P0-P3 production readiness)
• Quick-wins: Issues [P2-Enhancement] Add time-decay and source weighting to hybrid search #68-72 (enhancements during P0-P3)
• Documentation: ROADMAP_ADVANCED.md

Labels

• roadmap - Strategic planning
• enhancement - Future improvements
• documentation - Roadmap documentation