LangChain is now in Amsterdam! We're hosting our first LangChain Agents Meetup this Wednesday June 25th, hosted by LangChain Ambassador Sri Rang and LangChain team members Marco Perini & Matheus Hermsdorff, along with our friends at @databricks and @QodoAI
. RSVP here:
@langchain
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LangChain Hosts First Agents Meetup in Amsterdam Wednesday
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Smart Document Assistant with LangChain RAG Technology
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Smart Document Assistant An AI agent that intelligently manages and processes documents, leveraging LangChain's RAG technology to handle multiple files and provide accurate answers to your queries. Check out the implementation on GitHub https://
github.com/raminmohammadi
/ai-agent-smart-assist
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Elasticsearch and LangGraph RAG Integration for Powerful Applications
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Elasticsearch + LangGraph RAG LangGraph's new Retrieval Agent Template integrates with Elasticsearch to build powerful RAG applications, featuring flexible LLM options, debugging tools, and query prediction. Learn more on Elastic's blog https://
elastic.co/search-labs/bl
og/build-rag-workflow-langgraph-elasticsearch
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Implementing Conversational Memory in LLMs with LangGraph
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Memory in LLMs A practical guide showing how to implement conversational memory in LLMs using LangGraph, demonstrated through a therapy chatbot. Features code examples for basic retention, trimming, and summarization approaches. Learn to build memory-aware apps
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Create AI-Powered D&D Dungeon Master with LangGraph Tutorial
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D&D AI Dungeon Master Tutorial Albert shows how to create an AI-powered D&D Dungeon Master using LangGraph. This tutorial combines graph-based AI agents with automated UI generation to bring your D&D games to life. Learn to build your own AI DM https://
youtu.be/amyMz1fXwoU -
Smart Health Agent: GPU-Accelerated Multi-Agent System for Real-Time Monitoring
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Smart Health Agent A GPU-accelerated multi-agent system providing real-time health monitoring with personalized insights. Built with LangGraph to orchestrate agents that process health metrics and environmental data. Check it out here https://
github.com/jayrodge/ai-ag
ents/tree/main/smart_health_agent
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Production-Ready AI Agents: A Practical Guide with LangGraph
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Agents Towards Production Nir Diamant just released a practical guide for building production-ready AI agents. This open-source playbook features tutorials using LangGraph for workflows and LangSmith for observability, plus essential production features. Check it out
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Three Core Characteristics of Agentic AI Systems and Future Software Development
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@FactoryAI Co-Founder and CTO @EnoReyes breaks down the three core characteristics that make AI systems agentic and reveals why the future of software development requires a fundamental shift from AI-assisted coding to fully agent-driven workflows. Learn how Factory builds -
Compare OpenAI and Anthropic Web Search Performance in LangSmith
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Curious whether OpenAI or Anthropic models perform web search better?
— LangChain (@LangChain) 18 juin 2025
Try web search and other provider-specific built-in tools in the LangSmith Playground today 🛠️
Docs ➡️ https://t.co/c6S38gGfGj pic.twitter.com/n8fKt7vbJVCurious whether OpenAI or Anthropic models perform web search better? Try web search and other provider-specific built-in tools in the LangSmith Playground today Docs https://
docs.smith.langchain.com/prompt_enginee
ring/how_to_guides/use_tools
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Watch Full Video: Agent Engineer Stories from LangChain
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Watch the full video: https://
youtu.be/6LidoFXCJPs/?u
tm_medium=social&utm_source=twitter&utm_campaign=q2-2025_customer-videos_co
… See more agent engineer stories: