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Real-World RAG Incidents: Lessons from a Production Rollout

A field report from rolling out retrieval-augmented generation in production, including cache bugs, bad embeddings, and how we fixed them.

AILLMGPTPython
KU
Kiril urbonasDevOps Engineer and AI Enthusiast
|Mar 10, 2026
Real-World RAG Incidents: Lessons from a Production Rollout

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••September 27, 2024

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Production Playbook: Infrastructure Drift Detection Workflow
••September 23, 2024

Production Playbook: Infrastructure Drift Detection Workflow

Infrastructure Drift Detection Workflow. Practical guidance for reliable, scalable platform operations.

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Kiril Urbonas·4 min read
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Production Playbook: Multi-Cluster Traffic Routing Strategies
••September 18, 2024

Production Playbook: Multi-Cluster Traffic Routing Strategies

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Production Playbook: Kubernetes Secrets and External Vault Integration
••September 14, 2024

Production Playbook: Kubernetes Secrets and External Vault Integration

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Kiril Urbonas·4 min read
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Production Playbook: Python Worker Queue Scaling Patterns
••September 11, 2024

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Production Playbook: RAG Retrieval Quality Evaluation
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Production Playbook: RAG Retrieval Quality Evaluation

RAG Retrieval Quality Evaluation. Practical guidance for reliable, scalable platform operations.

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Kiril Urbonas·4 min read
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Production Playbook: Prompt Versioning and Regression Testing
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Production Playbook: Prompt Versioning and Regression Testing

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Kiril Urbonas·4 min read
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Production Playbook: LLM Gateway Design for Multi-Provider Inference
••August 26, 2024

Production Playbook: LLM Gateway Design for Multi-Provider Inference

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Production Playbook: Kernel and Package Patch Management
••August 23, 2024

Production Playbook: Kernel and Package Patch Management

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Production Playbook: Systemd Service Reliability Patterns
••August 19, 2024

Production Playbook: Systemd Service Reliability Patterns

Systemd Service Reliability Patterns. Practical guidance for reliable, scalable platform operations.

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Kiril Urbonas·4 min read
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