LangGraph

LangGraph on Beyond Market Intelligence: a running collection of 3 stories we have gathered and hand-picked because they are worth your time. Every post here touches on langgraph in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around langgraph, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.

LangChain vs LangGraph: 4 Key Differences and When to Use Each
Towards Data Science

LangChain vs LangGraph: 4 Key Differences and When to Use Each

Navigating agentic workflows demands the right tools. LangChain and LangGraph are both vital for building AI systems, but understanding their differences is key to optimal performance. This guide delivers a practical comparison, outlining 4 key distinctions to empower your decision-making. Discover when to leverage LangChain’s versatility versus LangGraph’s focused approach to graph-based agent design. For deeper insights into knowledge exchange within LLMs, explore "How to Utilize OKF Efficiently."

Building a Streamlit UI for My LangGraph AI Agent
Towards Data Science

Building a Streamlit UI for My LangGraph AI Agent

Developing a production-ready web interface for your LangGraph AI agent is a crucial step towards practical application. This post details building a Streamlit UI, offering a straightforward path to visualizing and interacting with stateful LangGraph agents. We’ll explore techniques to create an accessible and functional interface, empowering users to leverage the full potential of your AI workflows. For a deeper understanding of the underlying architecture powering these advancements, consider "Before Q, K, and V: Reconstructing the Transformer."

I Replaced a 15-Minute Booking Process with a LangGraph AI Agent
Towards Data Science

I Replaced a 15-Minute Booking Process with a LangGraph AI Agent

Tired of cumbersome processes? In a recent Towards Data Science post, we detail how a 15-minute booking process was streamlined using a LangGraph AI agent. This practical guide walks you through building, running, and monitoring a stateful customer support agent with Python, LangGraph, and Langfuse. Discover a powerful alternative to traditional workflows and unlock new levels of efficiency.