--- author: "Umesh Malik" canonical: "https://umesh-malik.com/blog/tag/rag" description: "Explore articles tagged with RAG by Umesh Malik — AI Engineer, LLM & GenAI Developer. Learn RAG best practices, practical tips, and in-depth guides." title: "Umesh Malik's Blog - RAG Articles | RAG Tutorials" tokens: 791 generator: "scripts/generate-page-markdown.mjs" --- [← Back to Blog](https://umesh-malik.com/blog) # RAG 6 articles [![Ads for AI agents: TIME serves markdown with sponsored FAQ blocks to AI crawlers and HTML to humans](https://umesh-malik.com/blog/ads-for-ai-agents-time-markdown-crawlers-cover.png) AI Engineering • Aug 6, 2026 ### Ads for AI Agents: TIME Serves Crawlers a Different Site Ads for AI agents are live. TIME serves crawlers a 42 KB markdown site with sponsored blocks; humans and Googlebot get 1.2 MB of HTML. I measured all of it. 10 min read Read more →](https://umesh-malik.com/blog/ads-for-ai-agents-time-markdown-crawlers) [![Reinforcement fine-tuning: a 4B open model matching a frontier LLM on retrieval at a fraction of the cost](https://umesh-malik.com/blog/reinforcement-fine-tuning-small-models-retrieval-cover.png) LLM Engineering • Aug 6, 2026 ### Reinforcement Fine-Tuning: When a 4B Model Beats GPT-5.6 Reinforcement fine-tuning let a 4B open model match GPT-5.6 Sol on retrieval at 100x lower cost. How RFT works, and when it beats prompting a frontier LLM. 10 min read Read more →](https://umesh-malik.com/blog/reinforcement-fine-tuning-small-models-retrieval) [![A RAG chatbot in Next.js: embed the query, search pgvector, augment the prompt, stream a cited answer](https://umesh-malik.com/blog/rag-chatbot-nextjs-guide-cover.png) AI Engineering • Jul 21, 2026 ### Build a RAG Chatbot in Next.js: Retrieval, Streaming & Citations (2026) Build a RAG chatbot in Next.js with the AI SDK: embed the query, search pgvector, stream a grounded answer with citations, and stop hallucinations. 8 min read Read more →](https://umesh-malik.com/blog/rag-chatbot-nextjs-guide) [![Editorial cover: build enterprise-grade AI agents for free with open-source MaxKB, $0 API cost, self-hosted](https://umesh-malik.com/blog/build-enterprise-ai-agents-free-cover.png) AI Engineering • Jul 8, 2026 ### How to Build Enterprise-Grade AI Agents for Free (MaxKB, 2026) How to build enterprise-grade AI agents for free in 2026: a hands-on MaxKB + local LLM guide to RAG precision, security, and $0 API cost. 10 min read Read more →](https://umesh-malik.com/blog/build-enterprise-ai-agents-free) [![The stages of a production retrieval-augmented generation pipeline](https://umesh-malik.com/blog/build-rag-pipeline-from-scratch-cover.png) AI Engineering • Jun 8, 2026 ### Build a RAG Pipeline From Scratch: Production Patterns That Matter Build a RAG pipeline from scratch: chunking, embeddings, retrieval, reranking, grounded generation, and the production patterns that decide whether it works. 7 min read Read more →](https://umesh-malik.com/blog/build-rag-pipeline-from-scratch) [![RAG vs fine-tuning architecture comparison for LLMs](https://umesh-malik.com/blog/rag-vs-fine-tuning-llms-2026-cover.png) AI Engineering • Feb 28, 2026 ### RAG vs Fine-Tuning for LLMs in 2026: A Production Decision Framework With Real Tradeoffs RAG vs fine-tuning for LLMs in 2026: a practical decision framework covering architecture tradeoffs, cost, latency, and when to use each in production. 6 min read Read more →](https://umesh-malik.com/blog/rag-vs-fine-tuning-llms-2026)