LangChain articles
42 articles about LangChain, newest first.
- Stop Struggling with Production: LangChain's Managed Deep Agents Explained — Learn how LangChain's Managed Deep Agents bridge the gap between AI prototypes and production-ready agents using LangSmith.
- From 12 Weeks to 2: How Madrigal Pharmaceuticals Scaled AI Agents — Discover how Madrigal Pharmaceuticals used LangChain and LangSmith to slash AI deployment times and master agent observability.
- Building Deep Agents: From Concept to Production with LangChain — Learn how deep agents combine prompts, memory, tools, and MCP, and what changes when deploying them in production using LangChain and LangGraph.
- Debugging AI Agents at Scale: Credit Genie’s LangSmith Secrets — Credit Genie shows how LangSmith’s tracing and Insights let them turn thousands of AI agent traces into targeted tests, cutting debugging time dramatically
- Building AI SRE Agents: How Traversal Keeps Apps Running — Explore how Traversal’s AI SRE agents learn, search, and self‑heal at scale, and why they matter for modern software reliability.
- What Is RAG, Actually? — The Open Book Test for LLMs — Discover how Retrieval‑Augmented Generation works like an open‑book test, why it matters for real‑world AI, and the key steps behind it.
- Deep Agents Explained: Building Long‑Running AI Agents with LangChain — Learn what Deep Agents are, how they orchestrate tasks, and the key components for production‑ready AI agents.
- Rippling AI Lessons: Flat Agents, SQL Tools, and Eval‑Driven Development — Learn how Rippling built a natural‑language HR assistant using flat agents, LLM‑generated SQL, and statistical evals to ship reliable AI features.
- LangChain’s Dual Engineering Approaches: Fast Coding Agents vs Structured Agent Cycles — Explore how LangChain’s product team ships AI features quickly with coding agents, while its applied team tests hypotheses weekly — revealing two distinct workflows for AI development.
- How LLM Wikis Give Your AI Agents a Memory — Discover how LLM wikis let AI agents store and recall knowledge, with insights from LangChain's OpenWiki and real‑world building tips.
- OpenWiki Personal Brain: Build Your Own AI Memory Wiki in Minutes — Learn how OpenWiki 0.1.0 creates a self‑maintaining memory wiki for AI agents, with setup steps, connectors, and technical insight.
- Trace Claude Code Sessions in LangSmith: Step‑by‑Step Setup Guide — Learn how to install LangSmith's tracing plugin for Claude Code, configure a tiny JSON settings file, and view every agent interaction in LangSmith's Threads tab.