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Tag: Backend

AI, Development

What flipping on Qdrant TurboQuant really costs

Qdrant TurboQuant is a one-line config change that cuts vector memory, but it keeps float32 copies on disk for rescoring and runs calibration on every segment. Before patching a production collection, here is what changes and when a WordPress search build actually needs it.

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Development, E-commerce Development

Counts lie when you analyze WooCommerce order data

A census income walkthrough with pandas is a good reminder that raw counts mislead whenever group sizes differ. Here is how the same mistake shows up in store reports, and the one normalization step that fixes what you look at.

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Development

Where WordPress file integrity checks stop working

WP-CLI verifies checksums for core and for plugins hosted on WordPress.org, and nothing else. Your custom plugins, the theme you built, and the files you hand to clients have no reference to check against. Here is how to hash them, and my doubts about anchoring digests on a free testnet.

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Development, E-commerce Development

Where WooCommerce admin reports actually get read

A requested feature that ships and then goes unused is usually a delivery problem, not a quality problem. I compare three surfaces for store-owner data in WooCommerce: a standalone dashboard page, a scheduled email, and a column inside the orders list, with the HPOS hooks for the last one.

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AI in WordPress, E-commerce Development

Choosing a RAG technique before you embed anything

Clients keep asking for AI product search on stores where the catalog is already a database. Before anyone writes an embedding job, run the plain query and see what it answers. Here is where RAG genuinely fits on a store, and where a filter wins.

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AI, Development

Ranking by head-to-head votes with the Bradley-Terry model

The Chatbot Arena ranks language models with one question: which answer is better? The Bradley-Terry model explains how that works, and it maps onto store ranking jobs nicely. I walk through the math, a PHP fit, and the failure modes to expect.

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AI, E-commerce Development

WooCommerce AI analytics starts with defining revenue

An agent answering store questions is only as good as the definitions underneath it. Before wiring one to a WooCommerce database, know where the numbers actually come from: post tables or HPOS, lookup tables or raw orders, and what revenue even means.

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AI in WordPress, Development

RAG content indexing starts with the parser in WordPress

A RAG pipeline on WordPress lives or dies on what post_content actually contains. This post covers the three parsing traps behind most retrieval misses, a short function to clean content for indexing, and how to debug failures by tracing queries instead of tuning models.

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Development, Front-end

Markdown in WordPress needs an escaping pass

WordPress has no Markdown parser in core, so the rendering is always yours to wire up. The tempting shortcut is to echo the parsed HTML straight out. On a WordPress site that string usually comes from user input, so it needs wp_kses before it reaches the page.

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AI, E-commerce Development

Privacy governance belongs in code, not meetings

Legal answers “it depends” and code needs yes or no. I take Corné Potgieter’s case for machine-readable compliance and shrink it to WordPress size: the five answers to demand from legal, the hooks core already ships, and a purpose gate you can build on a WooCommerce store this week.

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