Module rag Future

RAG Module - Future Enhancements

Scope

Forward-looking enhancements for retrieval quality, context reliability, evaluation trustworthiness, and operational hardening in the RAG module.

Design Constraints

• Preserve stable retrieval and evaluation interfaces for existing consumers.
• Keep context assembly deterministic under equivalent inputs and budgets.
• Ensure safety checks execute before potentially unsafe generation paths.
• Keep optional backend features degradable with explicit fallback signaling.

Required Interfaces

Interface	Consumer	Notes
retrieval and fusion APIs	handlers and orchestration paths	stable document ranking and scoring semantics
context assembly interfaces	generation and quality-control paths	deterministic budget and truncation behavior
quality and judge interfaces	policy and response governance	explicit pass/fail and diagnostic surfaces
ingestion bridge interfaces	ingestion and retrieval runtime	canonical document hydration and enrichment
safety detector/sanitizer interfaces	request and retrieval processing	prompt/context safety enforcement

Implementation Notes

Retrieval and Context Hardening

Priority: High Target: Q3-Q4 2026

• consolidate deterministic ranking and tie-break behavior in retrieval flows
• harden context assembly for malformed inputs and metadata gaps
• standardize truncation and budget-reservation semantics across orchestrators

Quality and Safety Hardening

Priority: High Target: Q4 2026

• strengthen quality-gate explainability without leaking sensitive internals
• expand prompt-injection and adversarial-context regression scenarios
• align evaluator failure envelopes for degraded backend/runtime conditions

Distributed and Operational Hardening

Priority: Medium Target: Q4 2026

• broaden distributed retrieval/evaluation coverage under partial failures
• improve observability for deny/fallback paths and budget decisions
• increase reliability of operator-facing diagnostics and audit evidence

Performance and Capacity Hardening

Priority: Medium Target: Q1 2027

• re-baseline retrieval and end-to-end latency envelopes by release profile
• keep cache and context assembly overhead bounded under sustained load
• lock benchmark-backed release thresholds for critical RAG paths

Wave B B1: Self-RAG (Self-Retrieving, Auto-Critique)

Priority: High Target: Q1–Q2 2027

• add retrieval controller to gate when retrieval is re-invoked
• add three-class critic output (Relevant/Partial/Irrelevant) for context quality scoring
• implement bounded iterative refinement loop (max three rounds)
• wire callback integration with InferenceEngineEnhanced
• benchmark ALCE quality/latency deltas against vanilla RAG baseline

Test Strategy

Implemented (Q3 2026)

• ✅ Focused regression suites for ingestion bridge and context assembly behavior
  • Test file: tests/rag/test_rag_ingestion_bridge_hardening_focused.cpp
  • Coverage: Groups A-E (19 tests) for fail-closed behavior, metadata handling, deterministic hydration
• ✅ Budget/selection determinism tests across adaptive and multi-step paths
  • Test file: tests/rag/test_rag_budget_consistency_focused.cpp
  • Coverage: Groups A-E (20 tests) for budget determinism, propagation, multi-step consistency
• ✅ Error handling and edge-case regression matrix
  • Test file: tests/rag/test_rag_error_handling_edge_cases_focused.cpp
  • Coverage: Groups A-E (23 tests) for malformed context, invalid budgets, partial failures, resource exhaustion
• ✅ Safety/adversarial regression matrix for prompt and retrieved context payloads
  • Existing coverage: tests/rag/test_rag_prompt_injection.cpp
  • Extended with edge-case adversarial scenarios

In Progress / Planned

• Benchmark regression gates for retrieval, judge, and end-to-end workflows
  • Infrastructure: tests/performance/test_rag_ttft_benchmark.cpp
  • Gap: Release-profile threshold mapping and validation

Performance Targets

• stable p95 and p99 envelopes for representative RAG production workloads
• bounded throughput regressions against release baselines
• bounded memory and queue growth under sustained retrieval/evaluation load

Security / Reliability

• fail closed on invalid retrieval/context states and unsafe preconditions
• preserve deterministic safety and quality gate behavior
• prevent unbounded growth in cache, queue, and context buffers

Wave B Acceptance Gates (B1)

• hallucination rate reduction ≥ 20% vs standard RAG
• latency increase ≤ 1.5× vs baseline
• precision@k retrieval ≥ 0.85 on golden-doc tests

Related Documents

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

Risk Backlog

Risk 1: retrieval divergence under mixed backend conditions

Severity: High Signal: unstable ranking/output behavior under equivalent inputs. Mitigation Status: 🟢 High confidence

• Deterministic ordering rules implemented in context_assembler
• Cross-path regression packs created: test_rag_budget_consistency_focused.cpp (Group C)
• Same-budget determinism tests: test_rag_budget_consistency_focused.cpp (Group A1-A4)

Risk 2: context budget drift across orchestration variants

Severity: Medium Signal: inconsistent truncation/selection outcomes across paths. Mitigation Status: 🟡 In progress

• Shared budget utilities in place (ContextWindowBudget contract)
• Contract tests created: test_rag_budget_consistency_focused.cpp (20 tests)
• Multi-step consistency tests: test_rag_budget_consistency_focused.cpp (Group C1-C2)
• Gap: Integration testing across all orchestration variants pending

Risk 3: safety detection quality drift

Severity: Medium Signal: increased false-negative or false-positive rates. Mitigation Status: 🟡 Ongoing

• Calibration infrastructure in place
• Adversarial regression scenarios: test_rag_prompt_injection.cpp
• Additional edge-case coverage: test_rag_error_handling_edge_cases_focused.cpp (malformed context tests)

---

ThemisDB 1.9.0-beta · Home · Module-Index · GitHub · Issues