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OpenClaw Apr 4, 2026

OpenClaw Getting Started 07 | Running a Local LLM on a Mac mini M4 with 16GB RAM: Why I Started with Ollama and Llama 3.1 8B

If you have a **Mac mini M4 with 16GB of unified memory and a 256GB SSD**, the first problem with local models is rarely installation. It is choosing a sensible starting point.

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AI Apr 4, 2026

RAG Engineering in Practice 07 – How My Job Agent Turns JDs, CVs, and Rubrics into a Working Evidence Pipeline

If the first six articles in this series were mostly about sharpening concepts, setting boundaries, and clearing technical debris off the road, this one is about putting those ideas back into a real workflow and seeing how they actually hold together.

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AI Apr 4, 2026

RAG Engineering in Practice 06 – Taking RAG into Production: Retrieval, Citation, Evaluation, and Observability Are Not Optional

A lot of RAG systems are very good at performing in demo mode.

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AI Apr 4, 2026

RAG Engineering in Practice 05 – Qdrant’s JSON 400 Hell: The Problem Is Usually Not Qdrant but the Body You Actually Sent

If you are calling Qdrant from Make or another low-code tool, the thing most likely to drive you up the wall is usually not vector retrieval itself. It is the class of JSON 400s that look utterly unreasonable.

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AI Apr 4, 2026

RAG Engineering in Practice 04 – Why Qdrant Throws `Index required`: Payload Indexes, Schema, and Filter Design Explained

The first time you add a filter in Qdrant, there is a decent chance you will run into an error that feels oddly rude:

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AI Apr 4, 2026

RAG Engineering in Practice 03 – The Engineering Philosophy of Chunking: You’re Designing Evidence Units, Not Splitting Text

One of the first terms people run into when building RAG is chunking. And that is often where things start to drift.

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Latest

OpenClaw Getting Started 07 | Running a Local LLM on a Mac mini M4 with 16GB RAM: Why I Started with Ollama and Llama 3.1 8B

RAG Engineering in Practice 07 – How My Job Agent Turns JDs, CVs, and Rubrics into a Working Evidence Pipeline

RAG Engineering in Practice 06 – Taking RAG into Production: Retrieval, Citation, Evaluation, and Observability Are Not Optional

RAG Engineering in Practice 05 – Qdrant’s JSON 400 Hell: The Problem Is Usually Not Qdrant but the Body You Actually Sent

RAG Engineering in Practice 04 – Why Qdrant Throws `Index required`: Payload Indexes, Schema, and Filter Design Explained

RAG Engineering in Practice 03 – The Engineering Philosophy of Chunking: You’re Designing Evidence Units, Not Splitting Text

Browse the archive by category

Not here to sound smart.
Here to make things work.