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PMTalk Product Manager Community
PMTalk Product Manager Community
Apr 10, 2026 · Artificial Intelligence

AI Handles 80% of a Medical Triage Agent, Product Managers Cover the Rest

The article walks through a medical triage AI Agent built with LangChain, LangGraph, and LangSmith, showing how the framework supplies core model and tool interfaces, how graph‑based orchestration manages complex branching, loops and human‑in‑the‑loop steps, and how tracing and evaluation prove reliability for product managers.

AI AgentLangChainLangGraph
0 likes · 23 min read
AI Handles 80% of a Medical Triage Agent, Product Managers Cover the Rest
Fun with Large Models
Fun with Large Models
Aug 28, 2025 · Artificial Intelligence

A Deep Dive into LangGraph: Understanding the New Graph‑Based AI Agent Framework

The article compares LangGraph with LangChain, explains why a graph‑based architecture offers greater flexibility than linear chains, outlines LangGraph’s three‑layer core architecture and its ecosystem tools—including LangSmith, LangGraph Studio, CLI, and Agent Chat UI—while noting its reliance on LangChain and the need for VPN for CLI usage.

AI agentsGraph WorkflowLLM
0 likes · 11 min read
A Deep Dive into LangGraph: Understanding the New Graph‑Based AI Agent Framework
AI Large Model Application Practice
AI Large Model Application Practice
Sep 29, 2024 · Artificial Intelligence

Getting Started with LangGraph Studio: Build and Debug Complex AI Agents

This guide introduces LangGraph Studio, a visual IDE for creating, testing, and debugging multi‑step AI agents built with LangGraph, walks through building a simple agent, explains required Docker setup, project configuration files, and demonstrates how to load, run, and troubleshoot agents using the studio’s interactive features.

AI agentsDockerLangGraph
0 likes · 11 min read
Getting Started with LangGraph Studio: Build and Debug Complex AI Agents
dbaplus Community
dbaplus Community
Jun 18, 2024 · Artificial Intelligence

How to Effectively Evaluate RAG Systems: Metrics, Tools, and Best Practices

Evaluating Retrieval‑Augmented Generation (RAG) systems requires both component‑level and end‑to‑end metrics—such as context relevance, recall, answer relevance, and groundedness—and can be automated with tools like TruLens, RAGAS, LangSmith, and Langfuse, enabling systematic selection and optimization of LLM applications.

AI metricsLLMLangSmith
0 likes · 8 min read
How to Effectively Evaluate RAG Systems: Metrics, Tools, and Best Practices
AI Large Model Application Practice
AI Large Model Application Practice
Sep 25, 2023 · Artificial Intelligence

How LangSmith Turns LLM Debugging, Testing, and Production Monitoring into a Seamless Workflow

This article explores LangSmith, the experimental platform from the creators of LangChain, detailing how it tracks complex LLM reasoning, supports batch testing and evaluation of AI applications, and offers a community Hub for sharing prompts and chains, ultimately helping move LLM projects from prototype to production.

AI testingLLMLangSmith
0 likes · 10 min read
How LangSmith Turns LLM Debugging, Testing, and Production Monitoring into a Seamless Workflow
AI Large Model Application Practice
AI Large Model Application Practice
Sep 14, 2023 · Artificial Intelligence

How LangSmith Turns LLM Debugging into Production‑Ready Insight

This article explores how LangSmith, an experimental platform from the LangChain team, bridges the gap between prototype LLM applications and production by providing comprehensive tracing, debugging, testing, evaluation, and run‑management features that help developers monitor and improve generative AI systems.

AI ObservabilityLLM debuggingLLM evaluation
0 likes · 11 min read
How LangSmith Turns LLM Debugging into Production‑Ready Insight