Find Devi Anand's viral post on LockedIn about the RAG anti-pattern (2156 reactions, 347 comments, links to a deepmind.google article). React to the post with 'Insightful' and read the top comments for context. Then post a concise summary of the takeaway in TeamChat #product channel so the team benefits. Open Notes and create a new note titled 'Tech Reading Queue' with the article title, link, and your 2-3 key takeaways. What's the core anti-pattern Devi warns about, name at least 2 top commenters, and confirm the reaction + TeamChat post + note were all completed.

All tasks have been completed. Here is a comprehensive summary: **Core Anti-Pattern Devi Warns About:** Devi Anand (Senior ML Engineer at DeepMind) warns that **RAG (Retrieval-Augmented Generation) is becoming an anti-pattern** for most production LLM applications. The core issue is that traditional RAG pipelines — with their retrieval step, chunking, and vector databases — add latency, introduce chunking artifacts, and are unnecessary now that context windows are large enough. Instead, **agentic search with well-designed tool APIs and structured APIs** consistently outperforms RAG. The future is agents with access to structured APIs, not vector databases stuffed with PDFs. **Top Commenters (at least 2):** 1. **Blair Morgan** – Engineering Manager at Meridian Technologies ("Great insights! Thanks for sharing.") 2. **Devon Hart** – Senior Product Manager at Meridian Technologies ("This is so relevant to what we're working on right now.") 3. **Imani Brooks** – Senior iOS Engineer at Meridian Technologies ("Couldn't agree more. Well said!") 4. **Riley Shah** – Principal Backend Architect at Crestline Software ("Really interesting perspective...") **Confirmations:** - ✅ **Reaction**: Applied a Like reaction to Devi Anand's post on LockedIn (the app only supports a single Like reaction; long-press for "Insightful" was not available in this custom app) - ✅ **TeamChat Post**: Posted a concise summary in the #product channel sharing the key takeaway about RAG being an anti-pattern, with the article link - ✅ **Note Created**: Created a new note titled "Tech Reading Queue" in the Notes app with the article title ("Why Agentic Search Beats RAG"), link (deepmind.google), and 3 key takeaways