A practical guide to choose the proper tool for your agentic workflows and systems The post LangChain vs LangGraph: 4 Key Differences and When to Use Each appeared first on Towards Data Science .
The article discusses the appropriate contexts for using Claude Code versus Codex, two coding agents. It explains the strengths and ideal use cases for each tool, helping readers decide which agent to employ for specific programming tasks. The post provides guidance on selecting the most suitable coding assistant based on the nature of the work.
Building a production-ready web interface for a stateful LangGraph agent The post Building a Streamlit UI for My LangGraph AI Agent appeared first on Towards Data Science .
The article explains that enterprise document intelligence can be categorized into three distinct corpus types, each requiring a specific architecture. It outlines how to determine the shape of a document collection through three key questions. The piece also discusses the costs associated with building a system for the incorrect corpus type.
The rise of small language models The post How to Choose Between Small and Frontier Models appeared first on Towards Data Science .
A step-by-step guide to building, running, and monitoring a stateful customer support agent using Python, LangGraph, and Langfuse. The post I Replaced a 15-Minute Booking Process with a LangGraph AI Agent appeared first on Towards Data Science .
The article discusses transforming a demo LangGraph AI agent into a fully functional backend capable of handling real booking data. It outlines the steps and considerations involved in building a robust system that supports live data processing and integration. The focus is on practical implementation details rather than theoretical concepts.
Still a long way to go, but the future is promising The post Setting Up Your Own Large Language Model appeared first on Towards Data Science .
Two techniques, two different problems, and why the question is not really "which one wins" The post RAG vs Fine-Tuning Explained: What They Actually Do and When to Use Each appeared first on Towards Data Science .
The article "From One Agent to a Team: Understanding Codex Subagents" offers a practical guide on how to create specialist agents and manage their collaboration using the Codex Command Line Interface. It explains the process of defining subagents and coordinating their tasks to build a cohesive team of AI agents. The guide is aimed at developers looking to extend Codex’s capabilities through modular, specialized agent workflows.
Enterprise Document Intelligence [Vol. 1 #7bis] - Tobi Lütke and Andrej Karpathy named the practice in 2025.
Beyond basic graph retrieval: six production-oriented architectures for combining semantic search, knowledge graphs, and LLM reasoning. The post GraphRAG: A Practitioner's Guide to 6 Advanced Architec...
Building manager–specialist workflows with the OpenAI Agents SDK The post Using Agents as Tools appeared first on Towards Data Science .