- Featurenetguru.com
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 …
- Contentnetguru.com
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…
- Contentnetguru.com
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…
- Integrationnetguru.com
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…
- Featurenetguru.com
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…
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