Equip your agent with different subsets of tools throughout a run with dynamic tool selection in LangGraph!
@langchain
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Connect n8n Agents to LangSmith for Full Observability and Monitoring
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If you’re building agents in @n8n_io
, connect it to LangSmith for observability — with full trace visibility, latency & cost breakdowns, and real-time monitoring. See how to set up tracing from n8n to LangSmith in just a few minutes: https://
youtu.be/bvNQyAoGA5I -

LangChain College Night in San Francisco: Connect and Explore Opportunities
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Join us for College Night in San Francisco. We're putting together an evening for college students and recent grads to connect with one another and the LangChain team, explore opportunities at LangChain, hear lessons learned from co-founder Harrison Chase, and get an insider look
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RAGLight: No-Code RAG CLI Wizard Built on LangChain
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RAGLight: No-Code RAG Revolutionize RAG development with a no-code CLI wizard. Built on LangChain, RAGLight offers Standard, Reflective, and Agentic pipelines with extensive support for LLMs and various document formats. Build your RAG app today https://
github.com/Bessouat40/RAG
Light
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DataPup: AI-Powered Database Client Built with LangChain Agents
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DataPup: AI Database Client A modern database client powered by LangChain agents for intelligent query assistance. Starting with ClickHouse, DataPup brings AI-powered management to databases, with PostgreSQL and MySQL support coming soon. Check it out!
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Building Multi-Agent AI Systems with LangGraph Tutorial
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LangGraph Deep Dive Learn to build multi-agent AI systems with LangGraph, featuring human-in-the-loop processes and advanced memory management. Implement knowledge graphs and coordinate multiple agents in complex workflows. Watch the technical tutorial:
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Podcastfy.ai: Transform Content into Multilingual Audio Conversations
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http://
Podcastfy.ai Transform text, images, websites & videos into multilingual audio conversations. Built with LangChain, it offers local LLM deployment and multi-speaker support for complete developer control. Check out this open-source tool on GitHub -

RAG Pipeline Repository for Internal Documentation Processing with LangChain
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GenAI Use Cases A comprehensive RAG pipeline repository for internal documentation processing, featuring multiple LLM support, ChromaDB integration, and both notebook/production implementations using LangChain. Check out this practical guide https://
github.com/rguthaa/genai-
usecases/tree/main
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LangSmith Align Evals: Align LLM Scores with Human Preferences
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Creating high-quality LLM-as-judge evaluators just got easier! ✨📊
— LangChain (@LangChain) 29 juillet 2025
LangSmith's new Align Evals feature helps you match LLM scores to human preferences. This takes the guesswork out so you can build accurate, trusted evaluators!
Learn more by checking out our blog linked below… pic.twitter.com/l8VzbWglv7Creating high-quality LLM-as-judge evaluators just got easier! LangSmith's new Align Evals feature helps you match LLM scores to human preferences. This takes the guesswork out so you can build accurate, trusted evaluators! Learn more by checking out our blog linked below
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LangChain Academy Live Event in San Francisco August 19
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Come learn with us at LangChain Academy Live in San Francisco! Experience hands-on learning with LangChain Academy Instructor Lance Martin alongside fellow developers on August 19th, starting at 4pm. We'll dive into the Ambient Agents course, collaborate on building an
