Status source of truth: Implementation and production readiness are governed by UNIFIED_PROJECT_ROADMAP.md — “E2E Testing Infrastructure Development” and “Implementation Completion Program.” This document summarizes validated artifacts only and defers ongoing status to the roadmap.
Production readiness assessment for rag-templates based strictly on validated test artifacts and implemented source. All file and API references are clickable and point to real code or reports.
- 4 production-grade pipelines are implemented and initialize successfully on real IRIS infrastructure:
- Unified interface via
RAGPipelineand integration viaRAGTemplatesBridge - Real constructor performance (seconds) on full infrastructure:
- BasicRAG 6.97s (
validation_results/comprehensive_pipeline_validation_20250913_181921.json) - CRAG 3.72s (
validation_results/comprehensive_pipeline_validation_20250913_181921.json) - BasicRAGReranking 1.19s (
validation_results/comprehensive_pipeline_validation_20250913_181921.json) - GraphRAG 0.43s (
validation_results/comprehensive_pipeline_validation_20250913_181921.json)
- BasicRAG 6.97s (
- DBAPI vector search on IRIS validated with live backend:
Limitations to be addressed before full production sign-off:
- Real-data ingestion and query execution not yet validated due to missing embeddings/graph data (status “INFRASTRUCTURE_MISSING” in the validation report despite database availability; see
validation_results/comprehensive_pipeline_validation_20250913_181921.json) - RAGAS end-to-end quality metrics blocked by data quality issues (see summary in
CRITICAL_VALIDATION_BREAKTHROUGH_REPORT.md)
- IRIS database reachable and authenticated (validated by DBAPI tests and full-infra constructor runs)
- Base connection synthesized in pipelines via
RAGPipeline.__init__ - CRAG direct SQL usage with cursor lifecycle:
- Base connection synthesized in pipelines via
- Vector store integration: the base class instantiates IRIS-backed vector store if none is provided:
- Required data and embeddings (enforced/assisted by validator + orchestrator):
- Precondition checks:
PreConditionValidator - Automated setup:
SetupOrchestrator - Ensure document embeddings:
SetupOrchestrator._ensure_document_embeddings() - Generate missing embeddings:
SetupOrchestrator._generate_missing_document_embeddings() - Optional chunking path:
SetupOrchestrator._create_chunks_table(),SetupOrchestrator._generate_document_chunks()
- Precondition checks:
- GraphRAG-specific data:
- Entities and relationships required; traversal and lookups implemented at:
- Constructor times on real infrastructure (seconds):
- BasicRAG 6.97s (
validation_results/comprehensive_pipeline_validation_20250913_181921.json) - CRAG 3.72s (
validation_results/comprehensive_pipeline_validation_20250913_181921.json) - BasicRAGReranking 1.19s (
validation_results/comprehensive_pipeline_validation_20250913_181921.json) - GraphRAG 0.43s (
validation_results/comprehensive_pipeline_validation_20250913_181921.json)
- BasicRAG 6.97s (
- DBAPI vector search microbenchmarks:
- 0.06–0.11s for common vector operations on live IRIS (see
outputs/test_results/dbapi_vector_search_validation_20250605_063757.md)
- 0.06–0.11s for common vector operations on live IRIS (see
Not validated yet (defer claims):
- End-to-end query latency (blocked by missing embeddings on real data)
- P95 end-to-end performance and throughput under load
- RAGAS context-based quality scoring at scale
- Unified bridge exposes circuit breaker and fallback:
- Circuit breaker states:
CircuitBreakerState - Gate and transitions:
RAGTemplatesBridge._check_circuit_breaker() - Fallback path in query orchestration:
RAGTemplatesBridge.query()
- Circuit breaker states:
- Pipelines return structured results and degrade gracefully:
- CRAG guarded error return:
CRAGPipeline.query()
- CRAG guarded error return:
- Health and metrics for operational readiness:
- Health:
RAGTemplatesBridge.get_health_status() - Metrics:
RAGTemplatesBridge.get_metrics()
- Health:
Scope validated by tests focuses on functionality and performance. Formal security validation (authz/authn robustness, secret management, tenant isolation, data governance) is not covered by current artifacts and should be assessed separately during deployment hardening.
Artifacts to review further:
- Deployment composition:
docker-compose.yml - Licensed variant (if applicable):
docker-compose.licensed.yml
- Provision IRIS and credentials (align with your environment/secrets manager)
- Preflight data setup
- Run validation and orchestrated setup for required embeddings:
- Validate:
PreConditionValidator.validate_pipeline_requirements() - Auto-setup:
SetupOrchestrator.setup_pipeline()for "basic", "basic_rerank", "crag"
- Validate:
- For GraphRAG: populate RAG.Entities and RAG.EntityRelationships tables, then validate traversal with targeted queries (see methods linked above)
- Run validation and orchestrated setup for required embeddings:
- Application integration
- Integrate through unified adapter:
RAGTemplatesBridge - Select technique via enum:
RAGTechnique - Use async entrypoint:
RAGTemplatesBridge.query()
- Integrate through unified adapter:
- Operationalization
- Health checks:
RAGTemplatesBridge.get_health_status() - Metrics export/ingestion from
RAGTemplatesBridge.get_metrics()
- Health checks:
- Performance baselining
- After embeddings and KG data are populated, measure end-to-end latency and throughput under expected concurrency, and capture P95/99
- Pipelines initialize on real IRIS
- Evidence: constructor times in
validation_results/comprehensive_pipeline_validation_20250913_181921.json
- Evidence: constructor times in
- Vector search DBAPI verified
- Unified interface and integration boundary implemented
- Evidence:
RAGPipeline,RAGTemplatesBridge
- Evidence:
- Requirements validation and auto-setup available
Pending to declare production-grade:
- Real-data ingestion and query paths validated (blocked by missing embeddings/graph content)
- E2E latency, load, and quality evaluations
- Missing pipeline implementations (Non-goals for this release):
- HyDE, ColBERT, NodeRAG, HybridIFind are not present in codebase (confirmed empty directory at
iris_rag/pipelines/colbertand absent modules)
- HyDE, ColBERT, NodeRAG, HybridIFind are not present in codebase (confirmed empty directory at
- Data prerequisites
- Document embeddings missing in current DB, preventing E2E validation (see “INFRASTRUCTURE_MISSING” statuses in
validation_results/comprehensive_pipeline_validation_20250913_181921.json) - Graph tables for GraphRAG require population
- Document embeddings missing in current DB, preventing E2E validation (see “INFRASTRUCTURE_MISSING” statuses in
- RAGAS evaluation
- Blocked by data quality; see findings in
CRITICAL_VALIDATION_BREAKTHROUGH_REPORT.md
- Blocked by data quality; see findings in
- Populate embeddings and (optional) chunk embeddings
- Execute orchestrator paths:
SetupOrchestrator._ensure_document_embeddings(),SetupOrchestrator._generate_missing_document_embeddings()
- Execute orchestrator paths:
- Populate GraphRAG KG tables and validate traversal
- Exercise methods linked under GraphRAG retrieval
- Re-run full validation and capture E2E metrics
- Extend current suite to include real ingestion and query flows; then record latency percentiles
- Run data-quality-aware RAGAS evaluation after real content load
- Pipelines manifest:
iris_rag/pipelines/__init__.py - Base and concrete pipelines:
- Integration boundary:
- Validation and setup:
- Reports:
- Full infra constructor timings:
validation_results/comprehensive_pipeline_validation_20250913_181921.json - DBAPI validation:
outputs/test_results/dbapi_vector_search_validation_20250605_063757.md - Reality summary:
CRITICAL_VALIDATION_BREAKTHROUGH_REPORT.md
- Full infra constructor timings: