How I Built a Chatbot Without APIs, GPUs, or Money (Part 2)
Author(s): Asif Khan Originally published on Towards AI. In Part 1, we built a complete backend for a document-based chatbot using local tools.Before jumping into the frontend, it’s important to verify that the backend behaves correctly. Instead of guessing, we’ll first test …
Agentic AI for Investment Management: From Concept to Production
Author(s): Farhad Malik Originally published on Towards AI. A comprehensive, practical guide that bridges the gap between AI hype and investment management reality Investment management firms are deploying Agentic AI systems that don’t simply analyse data but reason, act, and collaborate within …
Beyond Vector Search: Building an Adaptive Retrieval Router for Agentic AI Systems
Author(s): Abi Originally published on Towards AI. A hands-on guide to making retrieval a learnable decision layer—with code, architecture, and production trade-offs. Vector search works great for “one query, one answer” workflows. But agentic AI systems retrieve multiple times across a plan …
Production RAG: The Chunking, Retrieval, and Evaluation Strategies That Actually Work
Author(s): Ayoub Nainia Originally published on Towards AI. RAG isn’t a retrieval problem, it’s a system design problem. The sooner you start treating it like one, the sooner it will stop breaking. If you’ve built your first RAG (Retrieval-Augmented Generation) system, you’ve …
Observability & Evaluation in LLMs and Agentic Systems
Author(s): Murugeswari Muthurajan Originally published on Towards AI. Large Language Models and AI agents are no longer experimental tools. They power chatbots, customer support systems and even decision-making pipelines. With just a prompt these LLM can understand input, reason over provided context, …
Last Week in AI: Gemini 3 Flash & GPT-5.2 Arrive, Agentic AI Hits $60M, DeepSomatic Cracks Cancer (Dec 22–28, 2025)
Author(s): AIversity Originally published on Towards AI. Your weekly breakdown of what actually mattered in artificial intelligence without the noise. It’s the final week of December 2025, and while many are winding down for the holidays, the AI world is doing the …
Chatbot Implementation Using LangGraph
Author(s): Rashmi Originally published on Towards AI. LangGraph A LangGraph chatbot is best understood as: Chatbot = (State) + (Transitions) + (Node behaviors)This article explains the concepts and design principles of implementing a LangGraph chatbot, emphasizing the importance of structure, state management, …
Stable Diffusion Project Implementation
Author(s): Rashmi Originally published on Towards AI. Stable Diffusion Project Implementation Stable Diffusion is a text-to-image generative AI model that creates high-quality images from natural-language prompts. It belongs to the Latent Diffusion Model (LDM) family and works by iteratively denoising random noise …
Learn Python by Doing: Part 10
Author(s): Rashmi Originally published on Towards AI. General Python Interview Q&A (Basics → Tricky → Corner Cases) This article provides a comprehensive overview of various Python interview questions and answers, covering topics from basic concepts to tricky scenarios and corner cases. It …
SQL for Data Analysts:
Author(s): Gitanjali Originally published on Towards AI. SQL powers most data analyst roles today. If you work with data, chances are you will spend a large part of your day writing SQL queries. SQL allows you to work directly with data stored …
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