RSRounak Showinrounakshow.hashnode.dev·Jan 16 · 9 min readBuilding a Multi-Agent RAG with Map-ReduceIntroduction In Part 1, we built a RAG agent that can think and fix its own search queries. In Part 2, we gave it structured memory using hierarchical indexing and hybrid storage. We now have a capable researcher. It can handle vague questions. It ca...00
RSRounak Showinrounakshow.hashnode.dev·Dec 24, 2025 · 6 min readMastering Hierarchical Indexing for Agentic RAGIntroduction In Part 1, we gave our RAG system a brain. We built an agent that can analyze queries, ask for clarification, and fix its own mistakes using LangGraph. But even the smartest agent is useless if it’s reading from a messy library. Today, w...00
RSRounak Showinrounakshow.hashnode.dev·Dec 24, 2025 · 6 min readStop Building "Dumb" RAGs: Why You Need Agentic RAGIntroduction Retrieval-Augmented Generation (RAG) has become the "Hello World" of modern GenAI development. It is the standard way to ground Large Language Models (LLMs) in your own data. But let’s be honest—most RAG pipelines are "dumb." They are fr...00
RSRounak Showinrounakshow.hashnode.dev·Nov 29, 2025 · 6 min readBuilding an AI Meeting Intelligence Agent with LangChain & Fireflies.aiIntroduction In the era of remote and hybrid work, meetings have become the backbone of collaboration. But they also generate massive amounts of unstructured data. What if you could query your meeting history like a database, extract action items, or...00
RSRounak Showinblog.futuresmart.ai·Jan 5, 2025 · 13 min readBuild a Multi-Agent System with LangGraph: A Complete Tutorial on Agent OrchestrationIntroduction In the last three blogs in our Ultimate Langraph Tutorial Series, we highlighted different components of LangGraph for beginners, Long-term Memory Support, and building an AI agent with custom tools support. After implementing these syst...00
