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Module search Future

github-actions[bot] edited this page Aug 31, 2026 · 2 revisions

Search Module - Future Enhancements

Scope

  • hardening and refinement of search runtime behavior
  • deterministic reliability improvements for hybrid/distributed merge paths
  • stronger benchmark-backed guardrails for search hot paths

Design Constraints

  • search contracts remain backward compatible within major release line.
  • retrieval/fusion/distributed outcomes remain explicit and deterministic.
  • degraded and fallback utility paths remain observable and non-silent.
  • analytics/stream outputs remain actionable for operations.

Required Interfaces

Interface Requirement
retrieval interfaces deterministic lexical/vector candidate semantics
fusion interfaces stable hybrid and shard-merge behavior
utility interfaces bounded expansion/facet/rerank/stream behavior
observability interfaces explicit analytics and degradation visibility

Implementation Notes

  • tighten parity between distributed merge behavior and degradation diagnostics.
  • standardize incident taxonomy for shard/fusion/utility failure classes.
  • expand resilience tests for prolonged high-concurrency query workloads.
  • broaden benchmark depth for multimodal/reranking-heavy scenarios.

Wave B B1: Self-RAG Search Integration

Priority: High Target: Q1–Q2 2027

  • add retrieval-controller decision hooks to support selective re-retrieval
  • expose retrieval-quality signals for critic feedback classes (Relevant/Partial/Irrelevant)
  • support bounded refinement-loop retrieval updates (max three rounds)
  • align search-path callback contracts with InferenceEngineEnhanced integration
  • contribute ALCE retrieval-quality benchmark coverage for Self-RAG vs vanilla RAG

Test Strategy

  • unit and integration suites for hybrid/distributed retrieval and utility behavior.
  • regressions for shard failures, overlap anomalies, and candidate limit faults.
  • deterministic stress runs for sustained hybrid/distributed query pressure.
  • release-profile benchmark runs for mapped search targets.

Performance Targets

  • search hot paths remain inside regression budgets.
  • hybrid/distributed merge-sensitive operations remain stable at p95/p99 envelopes.
  • mapped benchmark manifests reach no-missing-case status for release gating.

Security / Reliability

  • maintain strict bounded behavior for candidate and merge operations.
  • preserve explicit failure signaling for shard and utility faults.
  • enforce predictable degradation under partial backend failures.
  • keep diagnostics actionable for production search incidents.

Planning Traceability

  • Wave B dependency planning issue: #5039
  • Upstream planning context: Wave C #5040, Wave A #5038

Wave B Acceptance Gates (B1)

  • precision@k retrieval contribution β‰₯ 0.85 on golden-doc tests
  • retrieval-path latency overhead supports overall Self-RAG target (≀ 1.5Γ— baseline)
  • deterministic fallback under shard/back-end partial failures during refinement loops

Related Documents

  • AI wave tracker: ../ai/ROADMAP.md
  • RAG wave tracker: ../rag/ROADMAP.md
  • bibliography: ../../docs/research/ml_enhancements_bibliography.md
  • issue scope: https://github.com/makr-code/ThemisDB/issues/5039

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