Author(s): Sunil Rao Originally published on Towards AI. Source: LangChain In my previous article, we laid the groundwork with a basic RAG architecture. Now, we’re moving towards building robust and performant RAG systems. This and the following articles will delve into the …

Author(s): Sunil Rao Originally published on Towards AI. Source: Langchain Following our foundational overview of RAG and our exploration of advanced techniques like chunking and indexing, this article moves us into the final phase. We’ll concentrate on refining query handling through optimization …

Author(s): Sunil Rao Originally published on Towards AI. Generated by Gemini Building upon foundational concepts from my previous articles on LLMs, Retrieval-Augmented Generation (RAG), and advanced RAG techniques, this article ventures into the next frontier: Multimodal LLMs. We’ll begin by demystifying their …

Author(s): Sunil Rao Originally published on Towards AI. AI Generated In the rapidly evolving landscape of Artificial Intelligence, Large Language Models (LLMs) have captivated the public imagination with their remarkable capabilities in understanding and generating human-like text. From crafting creative content to …

Author(s): Sunil Rao Originally published on Towards AI. Remember the early days of prompt engineering, when LLMs responded to clever single prompts and a little “vibe coding”? It would spit out a functional script, a web component, or a full-stack proof-of-concept. But …

Author(s): Sunil Rao Originally published on Towards AI. Credit: Shutterstock Agents are advanced AI systems that use LLMs as their core “brain” to interpret language, reason through problems, plan solutions, and autonomously execute tasks — often by interacting with external tools or …