Read GenAI blog posts at TO THE NEW Blog

From Naive RAG to Production-Grade Agent: The 6-Stage Architecture of an Enterprise AI Assistant

Krishna Jain — Mon, 10 Aug 2026 05:48:20 +0000

Introduction Large Language Model (LLM) applications are evolving beyond single prompt-and-response setups. While basic Retrieval-Augmented Generation (RAG) scripts work well for simple Q&A over documents, real-world enterprise environments demand a much broader set of capabilities.In production, enterprise data is inherently fragmented: HR policies reside in unstructured PDFs, workforce metrics live in relational databases (SQL), and […]

The post From Naive RAG to Production-Grade Agent: The 6-Stage Architecture of an Enterprise AI Assistant first appeared on TO THE NEW Blog.

Meet Our Quietest Team Member: AI

Neha Kapoor — Sun, 19 Jul 2026 13:15:53 +0000

Our Quietest Team Member: How AI Changed the Way I Think About Testing It doesn’t attend stand-ups. It doesn’t ask questions during meetings. It doesn’t even have a Microsoft Teams status. Yet somehow, it has become one of the busiest members of our QA team. It Joined the Team Without Anyone Noticing A few months […]

The post Meet Our Quietest Team Member: AI first appeared on TO THE NEW Blog.

How to Build a Tool-Calling AI Agent Using LangChain and TypeScript

Aarav Gupta — Fri, 10 Jul 2026 07:07:19 +0000

Introduction Large Language Models (LLMs) are incredibly powerful, but they have a major limitation: they are cut off from the real world. Imagine building a customer support bot. A user asks, “Where is my order #12345?” On its own, an LLM cannot fetch live database records, call a shipping provider’s API, or check inventory levels […]

The post How to Build a Tool-Calling AI Agent Using LangChain and TypeScript first appeared on TO THE NEW Blog.

Adobe and Gen AI – Part 2: Local MCP Servers for AEM Development

Arpit Varshney — Wed, 08 Jul 2026 16:05:22 +0000

Introduction In Part 1 of this series, we looked at Adobe Skills. Skills teach AI coding assistants Adobe’s recommended way of doing things. Skills tell the assistant how to do something. But on their own, they do not know what is happening in your running AEM instance right now. They do not know which bundle […]

The post Adobe and Gen AI – Part 2: Local MCP Servers for AEM Development first appeared on TO THE NEW Blog.

Why your media empire needs GenAI now: Netflix-level personalization decoded

Abhinav Kumar Singh — Thu, 02 Apr 2026 08:34:22 +0000

Hook: Experience vs Content Today, content is everywhere. Movies, shows, reels, podcasts, live streams—audiences are overwhelmed with choices across platforms. The problem is no longer content availability; it’s content discovery and OTT user experience. Modern media platforms are not competing on content libraries alone anymore—they are competing on OTT personalization and user experience. This is why […]

The post Why your media empire needs GenAI now: Netflix-level personalization decoded first appeared on TO THE NEW Blog.

Naming Conventions of LLM Models

Sudarshan — Tue, 31 Mar 2026 05:52:36 +0000

Introduction When we see any LLM model names like GPT-4o, Claude 3 Sonnet, or LLaMA-2-7B-chat we wonder why companies give such weird names to their models. But let me tell you, these names have lots of meanings inside it. They provide lots of information about that model. Common Patterns: Suffix […]

The post Naming Conventions of LLM Models first appeared on TO THE NEW Blog.

Stop Fighting React Native Alone: Gen-AI as Your Smartest Team-mate

Shubham Mishra — Fri, 13 Mar 2026 11:44:55 +0000

Let me be upfront with you: I was sceptical. When everyone started talking about how Gen-AI coding assistants would “10x” developer productivity, I rolled my eyes. I’ve been building React Native apps for years and I’ve seen plenty of silver bullets that turned out to be more trouble than they’re worth. But over the past […]

The post Stop Fighting React Native Alone: Gen-AI as Your Smartest Team-mate first appeared on TO THE NEW Blog.

Leading GenAI initiatives when you’re not the most Technical person in the room

Himani Gupta — Fri, 27 Feb 2026 17:40:02 +0000

GenAI is everywhere today; in boardroom discussions, client pitches, internal roadmaps, and strategy decks. There is excitement, curiosity, and sometimes anxiety. As leaders, many of us are suddenly expected to “lead GenAI initiatives” even when we are not the most technical person in the room. I’ve been there. In several Gen AI discussions, I found […]

The post Leading GenAI initiatives when you’re not the most Technical person in the room first appeared on TO THE NEW Blog.

LangGraph vs LangChain: Choosing the Right Framework for AI Workflows

Mahendra Kumar Agrawal — Mon, 09 Feb 2026 06:01:41 +0000

Introduction As AI developers, we’re constantly deciding which tools best serve our projects—whether we’re building chatbots, automated reports, or document analysis platforms. Two frameworks have emerged as frontrunners: LangChain and LangGraph. While they complement each other, they solve fundamentally different problems.This guide explores what makes each framework unique, their ideal use cases, and how teams […]

The post LangGraph vs LangChain: Choosing the Right Framework for AI Workflows first appeared on TO THE NEW Blog.

Beyond itineraries: Building an AI-powered smart travel planner with agents, maps, voice, and more

Vishwas Singh — Fri, 16 Jan 2026 05:59:07 +0000

Introduction Travel planning is no longer just about deciding where to go, it’s about how, when, what to experience, and being prepared at every step. Traditional itinerary tools focus only on dates and places, leaving travelers to juggle multiple apps for hotels, packing lists, activities, maps, and research. To solve this, we built a Smart […]

The post Beyond itineraries: Building an AI-powered smart travel planner with agents, maps, voice, and more first appeared on TO THE NEW Blog.

LLM Fine-Tuning Explained: What It Is, Why It Matters, and How It Works

Dharmendra Singh — Fri, 16 Jan 2026 05:56:19 +0000

Introduction Large Language Models (LLMs) like ChatGPT, Gemini, and Claude are very powerful. They can answer questions, write text, generate code, and help in many tasks. However, these models are trained on very general data from the internet. Because of this, they may not always understand your specific business, domain, or writing style. This is […]

The post LLM Fine-Tuning Explained: What It Is, Why It Matters, and How It Works first appeared on TO THE NEW Blog.

How GenAI Is Transforming Data Engineering

Shashvat Vashishtha — Tue, 06 Jan 2026 07:41:15 +0000

Introduction Data engineering, once dominated by manual coding, SQL development, and repetitive operational tasks, is entering a new era. With Generative AI (GenAI), data teams are automating ingestion workflows, accelerating data modeling, writing code faster, improving quality checks, and generating documentation instantly. GenAI isn’t just an add-on—it is fundamentally transforming how modern data platforms are […]

The post How GenAI Is Transforming Data Engineering first appeared on TO THE NEW Blog.