WhatsApp Agent Template Build AI agents for WhatsApp with this comprehensive template. LangGraph's supervisor architecture enables text and image handling with enterprise-grade security and monitoring. Start building a WhatsApp AI agent today!
Repo link in reply
@langchain
-
Build WhatsApp AI Agents with LangGraph Supervisor Architecture
By
–
-
Creating RAG Agents with Reflection for Improved Performance
By
–
How to Create a RAG Agent with Reflection RAG is a powerful technique that supplies your agent with external information, and can improve agent performance. However, relying on RAG alone, agents can often pull in irrelevant documents to the user question. What if you
-
This Year in Uber’s AI-Driven Developer Productivity Revolution
By
–
Learn more https://
dpe.org/sessions/ty-sm
ith-adam-huda/this-year-in-ubers-ai-driven-developer-productivity-revolution/
… -
Uber Uses LangGraph Agents for Code Migration Automation
By
–
🔥 To tackle large-scale code migrations, Uber's Developer Platform team uses LangGraph to build a network of agents and automate unit test generation. 🔥
— LangChain (@LangChain) 23 avril 2025
🤖 Uber has established a dedicated Developer Platform AI team to more deeply integrate agentic systems into their… pic.twitter.com/jcz7cySTzwTo tackle large-scale code migrations, Uber's Developer Platform team uses LangGraph to build a network of agents and automate unit test generation. Uber has established a dedicated Developer Platform AI team to more deeply integrate agentic systems into their
-
LangSmith Self-Hosted v0.10 Released with Alerts and Evaluations
By
–
LangSmith Self‑Hosted v0.10 is here If you're on a LangSmith self-hosted deployment, we have a suite of new features available to you in v0.10! Key features since v0.9: Catch production failures early with alerts
New UI driven workflows for creating evaluations and -
Trellix Accelerates Log Parsing with LangGraph Agents
By
–
Trellix cuts log parsing from days to minutes with agents built on LangGraph @Trellix
, a global cybersecurity leader with 40k+ customers, built their AI app, Sidekick, to tackle backlogs and streamline their engineers' workflows. Using LangGraph, LangSmith, and LangChain, -
LangSmith Alerts: Monitor Production Failures in Real-Time
By
–
Catch Production Failures Early with Alerts in LangSmith Set up real‑time notifications on error rates, run latency & feedback scores to spot failures before your customers do. If you’re already sending production traces to LangSmith, set up your first alert today:
-
LangChain Opens European Office Following AWS Summit Amsterdam
By
–
We loved meeting so many users and customers of LangChain products at AWS Summit in Amsterdam! And we're opening up an office in region. To our European customers, LangChain is here!
-
Building AI Applications with Deno and LangChain
By
–
Deno Meets LangChain A guide to building AI applications using Deno, LangChain.js, and local LLMs. Learn how to create structured workflows with TypeScript, featuring Jupyter integration and Ollama for local model hosting. Dive into AI development with JavaScript!
-
LangChain Korean Tutorial: Educational Resources and Interactive Examples
By
–
LangChain Korean Tutorial A Korean-language educational resource delivering LangChain tutorials through ebooks, YouTube content, and interactive examples. Covers core LangChain concepts, LangGraph systems, and RAG implementations. Explore the full tutorial here