Блог

A decision framework for choosing between retrieval-augmented generation and fine-tuning, with cost and latency trade-offs.

A practical guide to evaluating large language models for enterprise deployment.

The infrastructure patterns, failure modes, and observability practices that separate toy demos from production AI systems.

How prompt injection attacks work, why they are uniquely dangerous in agentic systems, and the layered defenses that actually work.

A head-to-head comparison of the three leading vector databases for enterprise RAG systems, benchmarked on recall, latency, and operational complexity.

Six concrete techniques we applied to a client's production LLM workload to reduce monthly spend from $48,000 to $19,200.

The architectural decisions that determine whether an enterprise RAG knowledge base actually works at scale — and which ones cause the systems we are called in to fix.

The four orchestration patterns we use most in production agentic systems, with honest assessments of where each pattern breaks down.

Why AI workloads break traditional data governance models, and the practical controls enterprises need to maintain compliance while moving fast.

Practical applications, current limitations, and the use cases where multimodal models are already delivering production ROI in enterprise environments.