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PluginsSeq2Seq Answer Architect
Domain Focus · Seq2Seq / Generative AI

Seq2Seq Answer Architect: Auditable AI Governance Accelerator 🛡️

The Retrieval-Augmented Generation (RAG) platform purpose-built for auditable executive decision support. Delivers evidence synthesis with a Guaranteed P95 Performance Contract (<300ms) and mandatory governance across all retrieval and inference paths.

ML Task: Seq2Seq / Generative AIArchitectural focus: Scale & latency
Platform Fee$3,800/mo + usage credits
FocusKnowledge OpsRapid synthesis from governed corpora.
GuardrailLatency SLOsP95 ≤ 300ms across warm path.
OutcomeExec-ready answersNarratives cite source snippets.

RAG MLOps Performance Contract

Warm-path caching keeps Retrieval-Augmented answers reliably below the P95 SLO. The visible Uncached Fallback path provides a quantitative measure of ShieldCraft's value add.

RAG latency envelope vs P95 SLO300ms P95 SLOShadowPilotExec Q&ALaunch188314439565690Deployment phaseLatency (ms)
Optimized P95 (warm-path)Uncached fallbacks300ms P95 SLO (hard guardrail)

RAG operations scorecard

Treat retrieval-augmented generation as an observable service. Measure citations, latency, and guardrails with production discipline.

  • Citation Efficacy96%Responses with inline, hash-aligned source references, vital for compliance and dispute resolution.
  • Compliance Pass Rate99.2%Prompts and completions cleared through Bedrock and the custom ShieldCraft Policy Lattice.
  • Warm-Path Efficiency82% Cache HitHigh-priority requests served under the P95 contract via domain-sharded retrieval (direct FinOps correlation).

Operational hooks

  • Latency budgets traced per Step Functions stage with alarmed spans when retrieval or prompt assembly drifts >12%.
  • Adversarial prompt suites replay hourly; regressions quarantine the prompt bundle before it reaches production questions.
  • Vector index promotions require Git-approved manifest diffs plus automated RAG regression results pinned in CodeCatalyst.

Discovery & orchestration

Map where knowledge actually lives, then codify retrieval orchestration so Bedrock stays predictable under exec questioning and analyst follow-ups.

  • Corpus audit + embeddings split. Vectorizes governed corpora into hot, warm, and cold shards so sub-300ms latency targets hold during peak exec usage.
  • Prompt choreography. Retrieval stage, synthesis stage, and compliance stage prompts live in versioned bundles with Git-backed approvals.
  • Latency envelopes + observability. CloudWatch + X-Ray tracing surfaces inference bottlenecks while SageMaker endpoints autoscale inside pre-warmed capacity pools.

Guardrails that ship with day zero

Confidence scoring, prompt hygiene, and compliance sign-off are part of the base build rather than a backlog item.

  • PII and trade-secret classifiers inspect prompts and completions before any token streams back to the requestor.
  • Query budget caps keep GPU burst usage deterministic and route overflow through a cached summariser instead of failing the request outright.
  • Audit trail exports capture every retrieval source with hash-aligned citations to satisfy legal and compliance reviews.

Delivery cadence

Enablement sprint

Cut over to curated embeddings, wire up GuardDuty/Lake Formation governance, and tune warm-path caches.

  • Shadow index stands up with pgvector + Bedrock Titan embeddings for golden questions.
  • Cross-account IAM roles validated against Security Hub findings before production access.

Reliability sprint

Chaos drills across burst traffic ensure retrieval fallback logic and streaming guardrails degrade gracefully.

  • Synthetic traffic from Locust drives concurrency spikes while error budgets are tracked in Grafana.
  • Bedrock model gateway canary tests keep track of inference latency before exec showcases.

What stays on autopilot after go-live

  • Three-stage Step Functions workflow batches retrieval, prompt construction, and inference so GPU throughput scales predictably under burst traffic.
  • Vector lookups leverage pgvector with adaptive k-nearest strategy, prioritising low-latency shards for frequently accessed domains.
  • Integrated guardrails inspect prompts and completions for policy, cost, and data egress violations before streaming replies back to analysts.