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Support AI assistant: retrieval + moderation layer

A support workflow that blends retrieval, safe-prompt constraints, and analytics to reduce repetitive support load in multilingual products.
LLM RAG Python OpenAI Moderation Queue PostgreSQL Observability
Support AI assistant: retrieval + moderation layer preview
ai / AI assistant / case study
// Challenge

Make AI answers practical for operations: fast retrieval, traceability, and easy review when model output is wrong.

Responsibilities

  • Design retrieval indexes and chunking strategy for internal documentation.
  • Add trace logs for response times and confidence indicators.
  • Build moderation hooks and fallback path to human operators.
  • Create multilingual outputs and feedback capture for continuous tuning.
// Solution

Role: system architect — LLM integration with business workflows and operational control.

Implemented retrieval-first answer path, validation policies, audit logs, and a fallback queue for human rechecks. Added multilingual response templates and operator feedback loop for quality improvement.

// Stack
LLM RAG Python OpenAI Moderation Queue PostgreSQL Observability
// metrics
primary
retrieval-first
secondary
human fallback
kind
LLM / Operations