What Netguru shipped in July 2026

RAG chatbot accuracy: how data preparation beat model size

Netguru demonstrated that a small language model can achieve 98% accuracy and near-zero hallucinations in RAG chatbots by focusing on data preparation rather than model size. The approach prioritizes …

Experience Orchestration: Building Smart Commerce Systems That Actually Work - Netguru

Magento to VTEX migration: what moves, what breaks, and how to sequence it

A Netguru blog post outlines critical decisions for migrating from Magento to VTEX, emphasizing Adobe Commerce’s August 2026 EOL deadline, PCI compliance risks, and architectural differences like VTEX…

How to reduce AI hallucinations in e-commerce: a practical guide to RAG

Netguru’s guide attributes e-commerce AI hallucinations to retrieval gaps rather than prompts, detailing four failure types (price, availability, attribute, recommendation) and how RAG pipelines addre…

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Overcoming Integration Challenges in Super App Development

Building Data Foundations: The Key to Scalable Enterprise AI

Mastering Product Information Management: Your Key to the Digital Age

PIM integration with VTEX: architecture guide for engineers

The article highlights challenges in managing product data directly in VTEX Admin for large catalogs or multi-locale setups, leading to duplicated edits and broken mappings. It introduces PIM integrat…

GitHub Copilot pros and cons: 2026 honest evaluation - Netguru

A Netguru analysis of GitHub Copilot's 2026 features—inline suggestions, Copilot Chat, CLI, and agent mode—reports 25-35% acceptance rates in production codebases, with agent mode cutting iteration ti…