Module index Roadmap

Index Module Roadmap

Current Status

Production index runtime exists across vector/secondary/spatial/graph indexing, acceleration/compression pathways, and index lifecycle/rebuild/tiering operations.

Wave Alignment (see root ROADMAP.md § Program Execution Model):

• Wave B (Q3–Q4 2026): AnnFrontdoor+vector integration gates, GPU backend validation (CUDA/HIP), hybrid retrieval Phase B (buffer lifecycle RAII, concurrency ThreadSanitizer)
• Wave B Exit Criteria: Full 4-layer retrieval chain (search: ANN+vector+graph+LLM) with stable p95/p99 on representative hardware
• Tier 2 Functional Completeness: Index performance critical for all retrieval workloads; blocks RAG Phase B and search Phase B

Hybrid Retrieval Rollout Readiness: 40% 🟡 (issue #5468).

• Phase A (exact-first, CPU fallback): ✅ AnnFrontdoor ready with CPU fallback enforced.
• Phase B (ANN + CPU validation): 🟡 Q3 2026 — buffer lifecycle RAII and concurrency gaps must be fixed.
• Phase C (GPU ANN): ❌ Q4 2026 or later — blocked by gpu module gaps.
• Rollout risk detail: ai_working/HYBRID_RETRIEVAL_ROLLOUT_PLAN.md §7

ANN Frontdoor formalized (issue #5424): AnnFrontdoor is the single universal retrieval gate for all ANN queries. All six artifact classes — Document, Chunk, Entity, Adapter, Package, ShardSummary — are registered as first-class AnnScopeKind values with hot/cold routing and observability.

In Progress

• [~] hardening backend parity and deterministic fallback across mixed GPU/runtime capabilities (Target: Q3 2026)
• [~] benchmark stabilization for vector search, rebuild, spatial, and quantization hot paths (Target: Q3 2026)
• [~] diagnostics consistency for lifecycle, rebuild, and distributed index incidents (Target: Q3 2026)
• [~] GPU vector index CUDA backend: L2, cosine, inner-product kernels (Target: Q4 2026)
• [~] GPU vector index HIP backend: AMD ROCm support with feature-parity (Target: Q4 2026)
• [~] hybrid retrieval rollout Phase B entry: buffer lifecycle RAII + concurrency hardening (Target: Q3 2026)

Planned Features

Wave 2-B: GPU RAII & CUDA Backend (Target: Q4 2026)

Source: MODULE_GAP_ANALYSIS_WAVE2.md §Wave 2-B, gap scanner verified 2026-08-25
Gap count: 5 gpu_memory_leak (CRITICAL), 26 unchecked_cuda_call, 12 iterator_invalidation, 79 todo_as_productionlogic

• Implement CudaUniquePtr<T> RAII wrapper with cudaFree() destructor — fix 5 gpu_memory_leak in cuda_hnsw_graph_traversal.cpp:362,370,381 and gpu_memory_oversubscription.cpp:53 (2026-08-26: include/index/cuda_utils.h created; all 6 Impl raw-pointer members migrated to CudaUniquePtr<T>; freeDevice() simplified to RAII resets; batchSearch temporary allocations also wrapped)
  • Constraints: exception-safe; cudaFree called on all error paths
  • Errors: cudaErrorInvalidDevicePointer → log + IndexErrorCode::GpuMemoryError
  • Tests: tests/index/test_wave5_index_hardening.cpp (I1-A..D: null-safety, n=0, move, deleter)
• Add THEMIS_CUDA_CHECK after every kernel launch in cuda_hnsw_graph_traversal.cpp, gpu_vector_index.cpp, rotary_embeddings_cuda.cu (26 sites) — return IndexErrorCode::GpuKernelError on failure (2026-08-26: THEMIS_CUDA_CHECK and THEMIS_CUDA_CHECK_BOOL macros added to cuda_utils.h; batchSearch result D2H copy sites hardened; tests: test_wave5_index_hardening.cpp I2-A,B)
• Fix 12 iterator_invalidation in graph_index.cpp:244-248, multi_vector_search.cpp:224,406 — vector-resize and concurrent traversal patterns (2026-08-26: range-for over JSON array converted to index-based loop; CSV while-loop annotated; multi_vector_search score/rank push_back sites annotated with Wave-B I3 comment)
• Implement CUDA L2/Cosine/Dot-Product kernels in src/acceleration/cuda/cuda_hnsw_kernels.cu — replace CPU fallbacks; target ≥4× speedup vs CPU baseline on RTX-class GPU (Target: Q4 2026)
  • Inputs: float32 vectors, batch size ≤ 1e6; outputs: distance matrix + TopK indices
  • Constraints: deterministic FP tolerance ≤ 1e-6 vs CPU reference
  • Tests: tests/index/test_ann_cuda_kernel_parity.cpp (L2/cosine/dot CPU vs GPU parity)
• HIP/AMD backend: HIPVectorBackend::search() — feature parity with CUDA backend (Target: Q4 2026)

Hybrid Retrieval Rollout Gates (issue #5468)

• Phase B gate: fix 60% of buffer lifecycle RAII gaps (7,712 total → ~4,600 target) (Target: Q3 2026)
• Phase B gate: ThreadSanitizer clean for Vec KNN insert pipeline (Target: Q3 2026)
• Phase B gate: ANN result validation — output cardinality + range check before tensor layer (2026-08-09: truncation + NaN/negative distance filter added to AnnFrontdoor::search())
• [~] Phase B ctest gate: test_ann_cpu_parity for distance and TopK kernels (implemented; environment validation pending) (Target: Q3 2026)
• [~] Phase B benchmark gate: bench_ann_distance_cpu_vs_flat (implemented; environment validation pending) (Target: Q3 2026)

Short-term (3-6 months)

• tighten deterministic behavior under high-volume mixed index operation workloads (Target: Q4 2026)
• extend stress coverage for rebuild/tiering/distributed edge scenarios (Target: Q4 2026)
• improve operator-facing diagnostics for backend and lifecycle degradation incidents (Target: Q4 2026)

Mid-term (6-12 months)

• re-baseline p95/p99 envelopes for core vector and secondary index operations (Target: Q1 2027)
• broaden benchmark depth for distributed and advanced retrieval workflows (Target: Q1 2027)
• harden long-running reliability under sustained multi-tenant index pressure (Target: Q1 2027)

Implementation Phases

Phase 1: Design / API Contract — ANN Frontdoor (issue #5424)

• AnnFrontdoor abstraction API defined (include/index/ann_frontdoor.h)
• Decision tree HNSW / ScaNN / DiskANN / Distributed / Flat formalized
• All six artifact scope kinds defined: Document, Chunk, Entity, Adapter, Package, ShardSummary
• Metadata fields for ANN route-aware sharding (ShardMetadata, AnnQueryContext, AnnRetrievalPlan)
• freeze core/acceleration/lifecycle contracts for active major line (2026-08-09: INDEX_CONTRACT.md created; IAnnIndex, AnnFrontdoor, lifecycle contracts frozen)
• define explicit error taxonomy for backend, rebuild, and distribution failure classes (2026-08-09: index_error_codes.h created; IndexErrorCode + IndexError frozen in ranges 1100-1199)

Phase 2: Core Implementation — ANN Frontdoor (issue #5424)

• AnnFrontdoor::search() / planStrategy() / planRetrieval() implemented
• Routing logic for all six artifact classes with hot/cold tier awareness
• Distributed fan-out with cost-aware shard pruning
• TieredIndexManager integration for hot/cold tier resolution
• complete hardening for vector/secondary/spatial/graph index internals (Target: Q4 2026)
• align quantization/compression behavior to bounded runtime contracts (Target: Q4 2026)

Phase 3: Error Handling and Edge Cases — ANN Frontdoor (issue #5424)

• Missing backend → FLAT_BRUTE_FORCE fallback with degraded_continue reason code
• Partial shard failures → partial_results flag + configurable fail-closed behavior
• nullptr query / dim==0 guard with std::invalid_argument
• standardize fail-safe behavior for unsupported/degraded backend scenarios (Target: Q4 2026)
• unify diagnostics across rebuild/tiering/distributed failure incidents (Target: Q4 2026)

Phase 4: Tests — ANN Frontdoor (issue #5424)

• Unit tests for all routing strategies and scope kinds (tests/index/test_ann_frontdoor.cpp)
• Tests for Document, Chunk, Entity scope kind routing and candidate return
• Distributed fan-out, flaky shard, and retry tests
• Hot/cold tier demotion tests
• expand focused regressions for mixed backend/index/lifecycle edge scenarios (Target: Q4 2026)
• extend deterministic stress fixtures for high-concurrency retrieval and update workloads (Target: Q4 2026)

Phase 5: Performance and Hardening

• hot vs cold benchmark for ANN frontdoor routing paths (Target: Q4 2026)
• lock benchmark-backed release gates for index hot paths (Target: Q4 2026)
• validate p95/p99 and throughput behavior against release baselines (Target: Q4 2026)

Phase 6: Documentation and Acceptance — ANN Frontdoor (issue #5424)

• ANN frontdoor API documented in include/index/ann_frontdoor.h (Doxygen)
• Artifact class routing table documented in TARGET_ARCHITECTURE.md §2.1
• HNSW vs DiskANN decision tree documented in TARGET_ARCHITECTURE.md §2.1
• core index module docs aligned to source-verifiable behavior
• roadmap/future planning separated from historical changelog entries

Phase 7: Migration / Go-Live — ANN Frontdoor (issue #5424)

• HybridSearch::setAnnFrontdoor() integration point established
• Tensor mid-layer (AdapterRepository, TensorMidLayer) integrates via setAnnFrontdoor()
• Migrate all existing retrieval flows to pass through AnnFrontdoor (2026-08-09: HybridSearch + TensorMidLayer already migrated; ANNFRONTDOOR_ROLLOUT.md documents patterns + remaining callers)
• Rollout guide for existing callers (2026-08-09: ANNFRONTDOOR_ROLLOUT.md created with call patterns, config, backward-compat notes)

Production Readiness Checklist

• ANN Frontdoor API stable and documented
• HNSW / ScaNN / DiskANN switching validated via unit tests
• All six ANN scope kinds defined and tested
• Shard-aware routing with cost-aware pruning implemented and tested
• core index surfaces documented and source-verified
• module-level security and failure behavior documented
• benchmark mapping documented in performance expectations
• remaining hardening tasks closed for backend/lifecycle edge paths
• release benchmark stabilization complete
• hot vs cold ANN path benchmarks completed

Known Issues and Limitations

• runtime behavior depends on backend capability, selected index strategy, and operational configuration.
• distributed and advanced acceleration edge scenarios need continued hardening.
• benchmark breadth should continue expanding for specialized index workflows.
• shard-aware routing metadata (ShardMetadata) uses fixed defaults; real cost/freshness injection is future work.

Breaking Changes

No breaking index contract planned. Any contract-breaking change requires migration notes and changelog entry before merge.

Program Execution Model — Wave Context

This module is a contributing module in the program-level Wave A → B → C → D execution model. It does not own a primary wave deliverable but must remain release_critical-green throughout all waves and must deliver Wave D operability improvements in Q1 2027. See [[../../ROADMAP.md|ROADMAP]] for the full wave model and exit criteria.

Wave 9 Block 4 — Index Module CRITICAL Closure + FAISS Wiring (2026-08-26)

Task	Description	Status
[x] W9-13	Audit and close all 28 CRITICAL scanner FPs; verify brace balance in 6 files	✅ Done
[x] W9-14	FAISS optional-feature wiring: THEMIS_HAS_FAISS in CMake, stub block verified	✅ Done
[x] W9-15	GPU Vulkan RAII hardening Phase B entry: VkBufferRaii added, stubs documented	✅ Done

Wave D Contribution for index

• Deliver or validate distributed tracing, high-cardinality stress coverage, exporter reliability, and operator remediation hints as applicable to this module (Target: Q1 2027)
• Contribute to or validate long-duration soak test coverage for this module's primary paths (Target: Q1 2027)
• Ensure runbook coverage for operator-critical scenarios in this module (Target: Q1 2027)

Cross-Wave Requirements

• release_critical CI must remain green on develop throughout all waves (Target: ongoing)
• p95/p99 benchmarks must be refreshed on representative hardware before Wave D sign-off (Target: Q1 2027)
• No behavioral regression may be introduced into modules in Wave A/B/C scope from changes in this module.

Program-Level Success Criteria (contribution)

• This module's distributed/acceleration paths fail closed (Target: Q1 2027)
• Benchmark-backed p95/p99 baselines exist on representative hardware (Target: Q1 2027)
• Operator-critical paths have diagnostics, alerts, and runbooks (Target: Q1 2027)