This guide explains what LangChain and LangGraph each do, how they fit together, and how to choose between them. It also covers Deep Agents — an agent harness for long autonomous tasks — so the full picture is clear before making a choice. TL;DR — The rule of thumb that decides everything As a rule […]
Three months into building our DevOps AI agent, I gave a demo of it to the team. Checked pods, read logs, suggested fixes. Everyone was impressed. Then one engineer asked it: “Remember that ingress issue we sorted on Tuesday?” The agent had no idea what she was talking about. I had spent weeks on tool […]
Introduction Building AI solutions without any framework can be difficult to maintain. LangChain is a framework that helps in the development of LLM-powered applications. It provides a set of building blocks for almost every stage of the LLM application lifecycle. To add generative AI functionality to applications, LangChain offers components and features that makes pipelining, […]
Using LangGraph to Create an AI Agent- Beginner Guide Are you ready to create an AI agent effectively? In this post, we’ll use LangGraph, a robust framework for developing stateful, multi-step AI applications, to develop a basic candidate shortlisting agent that will demonstrate multiple LangGraph features. What is LangGraph? LangGraph, built on Langchain, is a […]
