Quality | kingisoovitaja Documentation

📄️ Quality & Guardrails Overview

Quality enforcement across end-to-end pipelines with multi-layered guardrails

State management, deduplication, and timing instrumentation in the streaming pipeline

Comprehensive testing approach including unit, integration, and end-to-end tests

Comprehensive scenario-based testing for full pipeline validation of the gift recommendation AI

Intent gating, exclude discipline, and graceful degradation in context orchestration

Performance metrics, benchmarks, optimization strategies, and monitoring

ISO/IEC 25002:2024 compliance, coding conventions, and best practices

Multi-stage filtering, fallback ladders, and quality gating in the search pipeline

Product grounding, prompt hygiene, and streaming safety in response generation

Anti-hallucination checks, content safety, and Estonian-specific pattern matching

Continuous testing, performance instrumentation, and quality gates

Overview of Estonian language complexities and their impact on LLM systems

How we detect, prevent, and fix LLM hallucinations in Estonian gift recommendation context

Handling compound word detection failure and keyword expansion strategies

Centralized configuration for Chat UI features, animations, and behavioral tuning

Dative case conversion, recipient normalization, and grammatical correctness

Handling code-switching, mixed queries, and language detection strategies

Text repetition prevention, truncation fixes, and instruction clarity

How our LLM-based negation detector achieves robust generalization through conceptual teaching

Estonian cultural calendar, budget norms, and localization strategies

Lessons learned and recommendations for Estonian LLM development