rock ec2c1b21e6
CI / CI (pull_request) Canceled after 0s
feat: Full Tekton Pipeline for CI/CD orchestration
Create proper Tekton Pipeline that orchestrates multiple Tasks:

k8s/tekton/poimen-pipeline.yaml:
  - Pipeline: poimen-ci
  - Orchestrates integration tests → gate → promote
  - Tasks:
    1. integration-tests (poimen-integration-test Task)
    2. gate-on-tests (verify results)
    3. promote-image (promote to :latest)
    4. cleanup (final step)
  - Parameters: image SHA, registry creds
  - Results: test summary, promotion status

.gitea/workflows/build.yaml:
  - Changed from TaskRun to PipelineRun
  - Trigger: kubectl create PipelineRun
  - Pass image SHA + registry credentials
  - Wait for Pipeline completion (10m timeout)
  - Gate: Only promote if tests pass
  - Print: Full pipeline status + test logs

Pipeline Flow:
  CI (build.yaml) → PipelineRun
    ↓
  Pipeline: poimen-ci
    ├─ Task 1: integration-tests
    │  ├─ Run migrations
    │  ├─ Run integration test suites
    │  └─ Return summary
    ├─ Task 2: gate-on-tests (runAfter Task 1)
    │  └─ Check results
    ├─ Task 3: promote-image (runAfter Task 2)
    │  └─ Promote to :latest
    └─ Task 4: cleanup (finally)

Benefits:
  ✓ Full pipeline orchestration
  ✓ Proper Tekton pattern
  ✓ Easy to add more Tasks
  ✓ Clear dependency flow
  ✓ Results propagation
  ✓ Gates and conditions

Next: Add more Tasks to Pipeline as needed
  - Docker build task
  - SCA task
  - Performance test task
  - Deployment task
2026-09-14 23:02:47 +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
2.7 MiB
Languages
Rust 98.6%
Shell 0.8%
Python 0.4%
PLpgSQL 0.2%