A library with dark wood, couches, and a warm classic design. Above the door is a antique sign that says “Retrieval-Augmented Generation”. On the wall is a printed sign that says “Please, no coding”
“AI Software Engineering Agent that builds custom AI agents with RAG from simple English prompts.
“I used Cursor AI to build a Web Scrapping AI Agent with RAG from scratch in less than 2 minutes. I built this Python app just by using English prompts. NoCode.
“🩺 Enhancing Healthcare Diagnostics with Multimodal RAG Systems With Qdrant & Gemini, you can transform the way healthcare professionals approach diagnostics by combining the power of *both* text and image data. 🖼 🔠 In this article, Pragnesh Prajapati shows how to create a
“friends, here I’m talking about multimodal RAG or document retrieval if you want short, structured and concise answers from documents of same structure and have labelled data I suggest fine-tuning a model like Donut or LayoutLM series or UDOP” / X
“Just coded a RAG pipeline in <1hr using only @cursor_ai composer, optimized via Hyde (hypothetical document embeddings) and @cohere reranker, without writing a single line of code. To make it more fun, I did the whole thing while just dictating to my computer with my voice, I
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