rock ce6c93d3b5
CI / CI (pull_request) In progress
refactor: focus on K8s Job integration testing, remove random scripts
Remove unfocused shell scripts - rely on existing integration tests instead:
  - ✓ tests/it_unified_query_4_6.rs (query tests)
  - ✓ tests/it_temporal_filtering_4_2_fixed.rs (temporal query)
  - ✓ tests/it_phase3_phase4.rs (ingest tests)
  - ✓ tests/it_authorized_pipeline.rs (auth + ingest)

Removed:
  - apply_migrations.sh (use migrations/ runner script)
  - collect_prod_logs.sh (k8s logs available)
  - run_production_test.sh (use cargo test)
  - test_prod_ingest_real.sh (existing it_phase3_phase4.rs)
  - tests/integration_ingest_with_gw.rs (duplicate)
  - tests/unit_ingest_logging.rs (duplicate)

Keep:
  - migrations/run_migrations.sh (K8s Job requirement)
  - k8s/test/integration-test-job.yaml (CI/CD integration)
  - .gitea/workflows/integration-test.yaml (CI orchestration)
  - k8s/test/db-credentials.enc.yaml (SOPS encrypted secrets)

Proper approach: K8s Job runs existing integration tests via 'cargo test'
                 ArgoCD+KSOPS decrypts secrets
                 Tests execute against new image SHA
2026-09-14 22:55:58 +09:00
2026-08-22 23:13:42 -07:00

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

  1. Build release binary: cargo build --release
  2. Set environment: JWT_SECRET, DATABASE_URL, OPENAI_API_KEY
  3. Run: ./target/release/mem-cli
  4. 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:

  1. Create core module in crates/mem-cli/src/query/
  2. Add optional parameters to request struct
  3. Extend response with optional field (use skip_serializing_if)
  4. Add handler logic (delegate to core module)
  5. Write 25-35 tests (unit + integration)
  6. Document in API.md

See CLAUDE.md for project context and constraints.

CI test 1788759975

S
Description
Agent-ready Graph-RAG system with hallucination prevention and enterprise RBAC
https://forgejo.riotpiao.com/rock/poimen-memory
Readme
3.6 MiB
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