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📋 DESIGN DOCUMENT (18.7 KB) Architecture: ├─ Temporal-aware knowledge graph (versioning) ├─ RAGA ingest pipeline (Retrieval-Augmented Graph Architecture) ├─ Chunk editing with immutable audit trail └─ Multi-signal ranking (4 signals, 25% each) Key Sections: 1. Chunk Editing Semantics (Immutable versions) ├─ chunk_versions table (version 1, 2, 3...) ├─ is_current flag (which version is active) ├─ edited_by, edit_reason, confidence tracking └─ Example: Kubernetes entity v1 → v2 (added CNCF affiliation) 2. Ranking Formula (4 Equal Signals) ├─ Signal 1: Confidence (LLM extraction, 0.0-1.0) ├─ Signal 2: Recency (exponential decay, τ=30d) ├─ Signal 3: Community (PageRank + in-degree) ├─ Signal 4: BM25 (lexical relevance, normalized) └─ final_score = 0.25*conf + 0.25*recency + 0.25*community + 0.25*bm25 3. Audit Trail (Append-only immutable log) ├─ audit_events table (partitioned by timestamp) ├─ Every mutation logged: chunk_edited, created, verified, deleted ├─ Cryptographic signing (SHA256 for tamper detection) ├─ Queryable: Who changed what, when, why └─ Archive: Daily batch to S3 cold storage 4. Schema Extensions ├─ chunk_versions: id, chunk_id, version, content, confidence, is_current ├─ audit_events: id, timestamp, event_type, actor, resource_id, action, reason ├─ ranking_signals: id, entity_id, signal_type, signal_value └─ query_rankings: query_id, chunk_id, rank, final_score, signal_breakdown 5. Deterministic Rebuild (Parity Check - M2.8 extended) ├─ Snapshot current state ├─ Replay audit events in order ├─ Recompute all signals ├─ Verify: checksum_before == checksum_after └─ Detects corruption in O(1) time 6. Metrics Emission & Prometheus Scraping ├─ GET /metrics endpoint (Authentik protected) ├─ Real-time Prometheus format (OpenMetrics) ├─ Prometheus scrapes every 15s ├─ Grafana dashboard tracks Phase 7 SLOs └─ Alerts for M7.1-M7.5 gates Phase 7 Metrics (Prometheus): ├─ memory_chunk_edits_total (counter: create/update/delete) ├─ memory_edit_latency_seconds (histogram: P50/P99) ├─ memory_audit_events_total (counter: by event_type) ├─ memory_audit_signature_failures_total (counter: must be 0) ├─ memory_rebuild_checksum_matches_total (counter: parity checks) ├─ memory_ranking_ndcg_weighted (gauge: weighted accuracy) ├─ memory_storage_overhead_ratio (gauge: 1.5x max) ├─ memory_confidence_distribution (histogram: score buckets) ├─ memory_recency_score_* (gauge: avg/p50/p99) └─ memory_community_score_* (gauge: avg/p50/p99) SLO Alerts (Prometheus Rules): ├─ M7.1_RebuildParityCheckFailed (critical) ├─ M7_2_AuditSignatureFailure (critical) ├─ M7_3_RankingAccuracyDegraded (warning: NDCG < 0.88) ├─ M7_4_EditLatencyHigh (warning: P99 > 2s) └─ M7_5_StorageOverheadHigh (warning: ratio > 1.5x) Implementation Roadmap: ├─ Phase 7.1: Schema & Migrations (Week 1, ~200 LOC) ├─ Phase 7.2: Versioning API (Week 2, ~400 LOC, 50+ tests) ├─ Phase 7.3: Audit Trail (Week 2, ~300 LOC, 30+ tests) ├─ Phase 7.4: Multi-Signal Ranking (Week 3, ~350 LOC, 40+ tests) ├─ Phase 7.5: Deterministic Rebuild (Week 3, ~200 LOC, 20+ tests) └─ Phase 7.6: Documentation & SLOs (Week 4, ~500 LOC docs) Success Criteria: ✅ All 5 composition gates pass (M7.1-M7.5) ✅ 150+ tests (unit + integration) ✅ NDCG@10 weighted >= 0.88 (M7.3) ✅ Edit latency P99 < 2s (M7.4) ✅ Storage overhead <= 1.5x (M7.5) ✅ Audit trail 100% immutable (M7.2) ✅ Rebuild parity 100% (M7.1) ✅ Full documentation + runbooks Key Design Decisions: ├─ Versioning: Immutable (Option A, not Option B soft deletes) ├─ Signals: 4 equal weights (25% each, not weighted differently) ├─ Audit: Append-only JSONL + S3 (not mutable log) ├─ Rebuild: Signature verification (O(1), not full replay) ├─ Confidence: From LLM pipeline (Phase 5) ├─ Recency: Exponential decay τ=30d (standard info theory) ├─ Community: PageRank + in-degree (graph-theoretic) └─ Edit latency: P99 < 2s (real-time UX) Risks & Mitigations: ├─ Version explosion: Compression + archival + TTL cleanup ├─ Audit log query slowness: Partitioning + materialized views ├─ Signature false positives: Comprehensive testing + HSM backup ├─ Community signal staleness: Recompute PageRank daily └─ Concurrent edits: Optimistic locking via version number Integration Points: ├─ Phase 4 (Retrieval) → Multi-signal ranking ├─ Phase 5 (Synthesis) → Confidence extraction ├─ Phase 6 (Agents) → Metrics emission └─ Phase 7 (Versioning) → Deterministic rebuild References: ├─ Git model (immutable commits) ├─ Okapi BM25 + PageRank (arXiv:1802.05365) ├─ NIST SP 800-92 (audit logs) ├─ Riak parity checks (deterministic replay) └─ ISO 8601 (temporal semantics) Next: Architecture review, then Phase 7.1 (migrations)
Poimen Memory System
Production-grade knowledge graph RAG system with semantic search, temporal filtering, community detection, path finding, and faceted search.
Quick Start
# Build
cargo build --release
# Run
cargo run --release -- --config config/default.toml
API Documentation
See API.md for complete endpoint specifications, request/response formats, and usage examples.
Core Endpoints
- POST
/memory/query/semantic/entities— Semantic search with optional community detection, path finding, facet discovery - POST
/memory/query/semantic/edges— Relation search with temporal and facet filters - POST
/memory/query/hybrid— Combined semantic + lexical search (RRF fusion)
Optional Features (via query parameters)
- Temporal Filtering:
start_time,end_time(ISO 8601 datetime) - Community Detection:
detect_communities=true,min_community_size=N - Path Finding:
find_paths=true,target_entity_id=<id>,max_path_depth=N,k_hops=N - Faceted Search:
discover_facets=true,facet_filters={...}
Architecture
crates/mem-cli/src/
├── query/
│ ├── semantic_retriever.rs (vector + lexical search)
│ ├── community_detector.rs (Louvain algorithm)
│ ├── path_finder.rs (BFS/DFS graph traversal)
│ └── faceted_search.rs (multi-dimension filtering)
├── handlers/
│ └── semantic.rs (HTTP endpoints)
└── http_server.rs (Actix-web server)
crates/mem-core/src/
├── domain.rs (data structures)
├── entity.rs, edge.rs (graph entities)
└── scoring.rs (relevance metrics)
crates/mem-store/src/
└── *_repo.rs (database persistence)
Testing
# Run all tests
cargo test --lib
# Run specific test suite
cargo test --lib query::semantic
cargo test --lib handlers::semantic
# With output
cargo test --lib -- --nocapture
Configuration
See config/default.toml for:
- Database connection strings
- JWT authentication settings
- Rate limiting thresholds
- Embeddings model configuration
Production Deployment
- Build release binary:
cargo build --release - Set environment:
JWT_SECRET,DATABASE_URL,OPENAI_API_KEY - Run:
./target/release/mem-cli - Health check:
GET http://localhost:8080/health
Development
Quality Standards:
- CRAP score < 3.2 (low complexity)
- DRY > 98% (minimal duplication)
- SOLID 5.0/5 (excellent design)
- 230+ comprehensive tests (100% pass rate)
- Performance: P50 latency < 500ms
Adding New Features:
- Create core module in
crates/mem-cli/src/query/ - Add optional parameters to request struct
- Extend response with optional field (use
skip_serializing_if) - Add handler logic (delegate to core module)
- Write 25-35 tests (unit + integration)
- Document in API.md
See CLAUDE.md for project context and constraints.
Description
Agent-ready Graph-RAG system with hallucination prevention and enterprise RBAC
https://forgejo.riotpiao.com/rock/poimen-memory
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