Build a Blazing-Fast YouTube Summarizer: Groq, LangChain, and Streamlit
Author(s): A.Venkatesh Originally published on Towards AI. Introduction In the age of infinite content, who has time to watch a 45-minute technical video to find a single piece of information? We need instant knowledge. Youtube Video Summarizer with translation, notes and recommendationsThis …
What is RAG? A Clear and Simple Explanation.
Author(s): A.Venkatesh Originally published on Towards AI. What is RAG? A Clear and Simple Explanation. In the rapidly evolving field of artificial intelligence, Retrieval Augmented Generation (RAG) is emerging as a transformative technique. By integrating external information retrieval with AI models, RAG …
Ask Your PDFs Anything: Build a FastAPI RAG Chatbot with Groq & FAISS!
Author(s): A.Venkatesh Originally published on Towards AI. What Are We Building? Have you ever wanted to chat with a PDF? In this blog, we’ll build a backend chatbot using: RAG Chatbot FlowThis article explains how to build a PDF chat system using …
Implementing Agentic RAG using LangGraph, Groq & FastAPI
Author(s): A.Venkatesh Originally published on Towards AI. Retrieval-Augmented Generation (RAG) is evolving, and combining it with agentic decision-making unlocks even more powerful and context-aware systems. In this post, we’ll walk through building an Agentic RAG system from scratch using: Agentic RAG GraphThis …
Build Your Own AI Agent from Scratch (LangGraph + Python Tutorial)
Author(s): A.Venkatesh Originally published on Towards AI. Build Your Own AI Agent from Scratch (LangGraph + Python Tutorial) In this blog, you’ll learn how to build a conversational chatbot powered by a LangGraph agent that can decide whether to use tools (like …
LangGraph: Chat Models, Tools & Dynamic Execution
Author(s): A.Venkatesh Originally published on Towards AI. In our previous blog, we explored how to build a simple LangGraph using just a few nodes and a conditional edge. This time, we’re stepping into more advanced territory — integrating Chat Models and Tools …
LangGraph Core Components Explained with a Simple Graph
Author(s): A.Venkatesh Originally published on Towards AI. What Are We Building? If you’ve been curious about LangGraph and how it can help you build smart, dynamic AI workflows, you’re in the right place. 1. A Simple GraphThis article explains LangGraph’s core components—State, …
Introduction to RAG: Basics to Mastery.2-Hybrid RAG, Combining Semantic & Keyword Search for Better Retrieval
Author(s): Originally published on Towards AI. Part 2 of the mini-series introduction to RAG Introduction In Article 1, we built a basic local RAG pipeline using embeddings and a vector database.While semantic search is powerful, it can sometimes miss results that contain …
Author(s): Originally published on Towards AI. Design and Implementation of an LLM-Powered Intelligent Tutoring System for Computer Science Education Overview: In this article, I’ll be presenting CS Tutor, an AI-powered tutoring assistant designed by Computer Science students (my teammate and I) for …
What a CTO Must Budget for AI Coding Tools: A Detailed Forecast of AI Coding Costs
Author(s): Originally published on Towards AI. Image By Author Dr. Brian Scott Glassman A CTO’s guide to AI coding tool costs, including per-developer projections, model pricing trends, and sustainable budgeting strategies. Executive Summary CTOs, CEOs, and software development leaders need a clear …
Why a $1.2M AI Project Failed (And How to Avoid the Same Mistake)
Author(s): Originally published on Towards AI. I spent 2 hours recently reviewing quarterly AI project reports. Demo after demo looked impressive. Business cases appeared compelling. Success metrics seemed strong. Then someone asked about operational costs. As one engineering leader recently shared on …
From ‘Chain of Thought’ to ‘Graph of Thought’: A Tour of How GenAI Got So Smart
Author(s): Originally published on Towards AI. Have you ever messed around with an AI and wondered what’s really going on under the hood? It can spit out a poem, a recipe, or a summary in seconds, which is amazing. But when you …
AI Agents Explained: Theory, Applications, and Python Implementation
Author(s): A.Venkatesh Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Artificial Intelligence (AI) has revolutionized how we interact with technology. From chatbots to self-driving cars, AI is shaping the future. However, not all …
The Bridge to MCP: Scaling AI Tools with Gateways
Author(s): Originally published on Towards AI. If you’ve ever worked with APIs, you already know the idea: a clear way for one system to talk to another. The Model Context Protocol, or MCP, takes that same spirit and brings it into the …
Build a Self-Driving Car in Carla Simulator with Python (Step-by-Step)
Author(s): Originally published on Towards AI. Source: Image by the author Autonomous vehicles are becoming increasingly common on our roads. Waymo has already surpassed Lyft in total rides in San Francisco and is rapidly approaching Uber. Hundreds of sensor-equipped cars can now …
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