Insights

Concise technical notes for production-oriented AI.

Short notes on architecture, quality, and operational decisions across RAG, AI agents, computer vision, and MLOps.

04

All articles

All articles

AI Strategy6 min read

Build or Buy AI: An Operating-Model Decision

The decision is not a feature comparison. Who owns the data, who can change the behaviour, and what exit costs.

Read article
AI Strategy6 min read

AI Readiness: Five Conditions That Decide the Outcome

Readiness is not a maturity score but five concrete conditions that either hold or do not, and how to test each honestly.

Read article
AI Integration7 min read

AI Integration Is Architecture, Not an API Call

Identity, permissions, the data path, invocation pattern, failure behaviour and observability - the endpoint call is the smallest part.

Read article
AI Strategy6 min read

Seven Questions to Answer Before an AI Project

Which decision it improves, whether the data is reachable, where it must connect, where a human decides, and who owns it after launch.

Read article
Agentic AI13 min read

Engineering Reliable Backends for Agentic AI Systems

Designing reliable agent workflows with asynchronous jobs, durable state, idempotency, validation, memory, and distributed tracing.

Read article
RAG Operations15 min read

Silent Failures: Why Production RAG Systems Degrade Without Throwing Errors

Making hallucination amplification, ranking drift, stale context, and retrieval gaps visible through semantic observability.

Read article
RAG Evaluation13 min read

Evaluating RAG: From Golden Datasets to LLM-as-Judge

Metrics that separate retrieval and generation quality, living golden datasets, and dependable release gates.

Read article
Knowledge Systems27 min read

Beyond Vector Search: Knowledge Graphs, Structured Retrieval, and Intelligent Routing

A production architecture that routes semantic search, exact match, SQL, and knowledge graphs according to the information need.

Read article
Retrieval Engineering31 min read

The Anatomy of Production-Grade Retrieval

Every layer of the retrieval stack: chunking, embeddings, hybrid search, rank fusion, reranking and evaluation - and exactly what breaks at each step.

Read article
Document AI36 min read

Building a Local-First OCR + LLM Pipeline for Structured Business Documents

Turn confidential PDFs into validated, structured records with OCR and schema-constrained extraction - without sending a single page to an external API.

Read article
RAG & LLM12 min read

RAG vs. Fine-Tuning: Which One Should You Use and When?

A practical comparison across enterprise knowledge, behavior change, freshness, cost, and operations.

Read article
AI Agents11 min read

AI Agent Security: Permissions, Human Approval, and Traceability

How to design safe boundaries, approval points, and auditable workflows for tool-using agents.

Read article
MLOps10 min read

Why Do AI Projects Fail in Production?

The data, deployment, monitoring, and ownership problems that matter beyond the model.

Read article
Computer Vision10 min read

Computer Vision in Manufacturing: Designing a Quality Inspection System

Cameras, lighting, defect definitions, edge inference and threshold policy - the decisions that determine whether a visual inspection system survives the line.

Read article

VALNOX / JOURNAL

Is your technical question ready to become a project?

Review your use case and key technical decisions directly with Valnox's founder.

Talk to the founder
Direct email
info@valnox.ai
Location
Bilişim Vadisi, Gebze/Kocaeli, Türkiye
Delivery model
Founder-led, end-to-end