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RAG Best Practices in 2026: Chunking, Reranking, Hybrid Search6 min read
GuideMay 16, 2026

RAG Best Practices in 2026: Chunking, Reranking, Hybrid Search

RAG (retrieval-augmented generation) graduated from a 2023 buzzword to a 2026 production pattern, and along the way the industry agreed on what actually matters. Most quality wins come from four levers: chunking strategy, hybrid retrieval, rerankers, and the long-context vs RAG tradeoff. Get those f…

Streaming AI Responses: SSE, WebSockets, and the Pitfalls6 min read
GuideMay 16, 2026

Streaming AI Responses: SSE, WebSockets, and the Pitfalls

A streaming LLM response feels fast even when total generation takes ten seconds, because the user sees tokens arriving immediately. The trade is operational: streaming is a long-lived connection with backpressure, partial-failure modes, and a different shape from a normal HTTP request. Here is what…

6 min read
GuideMay 8, 2026

Tutorial: Build a Production RAG App in 2 Hours

This tutorial walks through building a production-grade RAG (Retrieval-Augmented Generation) app from scratch in roughly two hours. Not a toy — a system with chunking, hybrid retrieval, reranking, eval, and citations. Code samples are Python with widely-used 2026 libraries; substitute whatever you p…

6 min read
ComparisonMay 8, 2026

Fine-Tuning vs RAG: The 2026 Decision Framework

"Should we fine-tune or do RAG?" is a question that has lost most of its drama. By 2026 the field has settled on a clear answer: they do different things, and most production systems use both. The interesting question is no longer "which one?" but "what belongs in which?" The single most useful ment…

6 min read
GuideMay 8, 2026

LoRA and Distillation: A Practical Guide for 2026

In 2026, a single consumer GPU is enough to specialize a 7B model on your domain in an afternoon. That is not a research milestone — it is the default. The two techniques that made it possible are LoRA (Low-Rank Adaptation) and QLoRA (Quantized LoRA), with distillation as the cousin that compresses …

6 min read
GuideMay 8, 2026

Tutorial: Fine-Tune Llama 4 Scout for Your Domain

Llama 4 Scout — Meta's 17B-active-parameter MoE released in April 2025 with a 10M token context window — is one of the most capable open models available for domain fine-tuning in 2026. This tutorial walks through a LoRA fine-tune of Llama 4 Scout for a domain task, covering dataset prep, training, …

6 min read
ArticleMay 8, 2026

Hiring AI Engineers in 2026: Skills That Actually Matter

The "AI engineer" role in 2026 is not the same role it was in 2023. Most teams have moved past the era when "knows how to call the OpenAI API" qualified someone as an AI engineer. The skills that actually correlate with shipping production AI features have shifted, and so has the interview design th…