Vertex AI Search is the "Cheat Code" for Production RAG (Here’s Why)

<p>Your RAG application works perfectly with 1,000 documents. You push it to production, upload 10 million vectors, and suddenly your query latency jumps from 50ms to 5 seconds.

<p><strong>271 zero-day vulnerabilities. One AI model. One Firefox release.</strong> And that's just one of four stories worth your attention this fortnight.</p> <p>If you run

<!-- SC_OFF --><div class="md"><p><a href="https://youtu.be/vczBo0AvbTI?si=pglMPmTjsq-TNJa9&amp;t=375">https://youtu.be/vczBo0AvbTI?si=pglMPmTjsq-TNJa9&amp;t=375</a></p>

<!-- SC_OFF --><div class="md"><p><strong>quick context:</strong> we're a small AI creative agency, 9 people, based in Pune. we work with brands on commercial visuals product

<!-- SC_OFF --><div class="md"><p><strong>Cracking ML System Design Interviews — Design a Search and Ranking System</strong></p> <p>I recently wrote Part 2 of my ML System Design

<!-- SC_OFF --><div class="md"><p>After burning way too much money on GPT-4 API calls, I finally went all-in on local models with Ollama. The progress in 2026 is insane

<!-- SC_OFF --><div class="md"><p>Been working with a few teams integrating RAG into internal tools, support bots, document Q&amp;A, contract search, and I keep running into the

<!-- SC_OFF --><div class="md"><p>Cursor dropped their new product yesterday and its not a code editor anymore. its an agent orchestration console that happens to have an editor