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NEW

Express for AI Inference in 2026: Build a Low-Latency RAG API with PGVector or FAISS

Latency stopped being optional the moment you put retrieval in front of an LLM. Every millisecond your vector search burns is a millisecond before the first token appears. Express stays lean by design, which leaves the vector store owning most of your retrieval headroom. This guide is a project…
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NEW

Build a Production AI App: Where Vibe Coding Platforms Break Down

Your prototype stopped being optional the moment a real user typed a real password into it. Before that, it was a demo. Now it's a liability with a login screen, and the habits that got you this far won't carry you further. Vibe coding is a good way to explore. It can accelerate exploration, reduce…
Thumbnail Image of Tutorial Build a Production AI App: Where Vibe Coding Platforms Break Down

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NEW

AWQ in Practice: Quantize LLMs for Faster AI Inference Without Killing Output Quality

AWQ cuts 70B model serving costs from $0.757 to $0.253 per million tokens by moving from two GPUs to one. Llama 3.3 70B quantized to INT4 with AWQ drops 2 MMLU points and 3 HumanEval points versus full precision. AWQ INT4 brings a 70B model's VRAM down from 140GB to roughly 40GB, fitting it on a…
Thumbnail Image of Tutorial AWQ in Practice: Quantize LLMs for Faster AI Inference Without Killing Output Quality
NEW

Beyond Basic RAG: Self-RAG, CRAG, and RA-DIT Patterns That Actually Improve Retrieval

The short version: Basic RAG follows a rigid sequence: retrieve k passages, insert them into the prompt, generate an answer. The weakness often sits in that fixed sequence, not in the retriever. The RAG survey describes the shift from basic retrieval to modular and adaptive designs. Self-RAG offers…
Thumbnail Image of Tutorial Beyond Basic RAG: Self-RAG, CRAG, and RA-DIT Patterns That Actually Improve Retrieval
NEW

Find vs Grep for AI Coding Workflows: Why Grep Still Beats Plain Search for Agent Debugging

Watch: Debug Retrieval (Grep, Web Search) Before You Debug the LLM by Isaac Flath Ask grep to find getUserName across a large codebase and it scans every line sequentially. Ask ripgrep to do the same job and it often finishes faster—parallelized work, automatic .gitignore respect. That gap stops…
Thumbnail Image of Tutorial Find vs Grep for AI Coding Workflows: Why Grep Still Beats Plain Search for Agent Debugging

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