🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Excited to introduce the CAIR metric with Harrison Chase on how to build successful AI products. The secret? Tailored product experience > novel technology. Read more about it here: medium.com/@assafelovic/t…

Which app will be the first to show ads while the model thinks?

💡David Tag from LinkedIn reveals how they built their first production AI agent for hiring using LangChain and LangGraph. Learn the technical architecture behind LinkedIn Hiring Assistant and the framework that scaled AI development across 20+ teams. Watch the full session

> be WFH > princeton, major in cs + stats > beijing, teach cars to see > senior thesis: “hey computer, read my mind when I point” > graduate 2018 > join microsoft research > co-write papers on factual-faithful summarization > patent_face.jpg > founding engineer at

If Will has a million fans, then I am one of them. If Will has ten fans, then I am one of them. If Will has only one fan then that is me. If Will has no fans, then that means I am no longer on earth. If the world is against Will, then I am against the world.

I unwittingly started a podcast 🫠 🙃 maven.com/parlance-labs

Super excited to connect with LangChain developers at GIAC! Had the pleasure of presenting "ALL in AI Agent," showcasing the incredible synergy of LangGraph + LangChain + LangSmith. If you’re already part of the journey, don’t miss out the LangGraph Platform, give it a try!

Great talk, I don’t have to say it, but I will 😂 The LinkedIn team is building agents on Azure!!!

We’re working on making it easier for devs wanting to use Azure with LangChain or LangGraph! Doing some work internally and also in public here if you want to check it out ♥️ Feel free to tag me in a PR if you want to contribute too🤗 github.com/langchain-ai/l…

🎙️🤖 Local AI Podcast Generator Transform text into multilingual podcasts with this AI system! Built using LangChain + Ollama, it combines text summarization and speech generation for seamless podcast creation. Check out the tutorial here youtu.be/h5D4rDNe8xk

📄🤖 Tensorlake Document Processing Tensorlake integrates with LangChain, enabling LangGraph agents to transform unstructured documents into structured data through their powerful multi-modal processing system. Learn more here 👉 tensorlake.ai/blog/announcin…

🚀 Davia: Python to Web Apps Turn Python applications and LangGraph agents into polished web apps instantly - no frontend code needed. Built on FastAPI, Davia automatically generates interactive UIs while you focus purely on Python logic. Explore this powerful dev tool 👉

📛 ai-hedge-fund 🧠 The AI Hedge Fund is an educational model using AI agents to simulate trading decisions, emphasizing AI's role in trading strategies. 🛠️ virat 💻 Python ⭐ 36178 🍴 6290 🔗 github.com/virattt/ai-hed…

Anthropic just dropped a deep-dive on how they built Claude's multi-agent research system. As always, it’s full of great practical advice for anyone building agents. Read on for a summary of key ideas and lessons from the blog 👇

📄✍️ Real Estate Doc Agent Automate signature tracking in real estate documents by combining Tensorlake's signature detection + LangGraph's agent framework. Process, verify, and monitor signatures in one streamlined solution. Check out the tutorial 👉 docs.tensorlake.ai/examples/tutor…

📄🔍 GraphRAG Contract Analysis A powerful solution combining GraphRAG and LangGraph agents to analyze legal contracts using Neo4j knowledge graphs, featuring benchmarks across multiple LLMs. Check out the full implementation guide ➡️ towardsdatascience.com/agentic-graphr…

I made a big update today We now save LangGraph state in storage This unlocks ambient tasks for AI hedge fund

.11x shares their experience rebuilding their Alice Agent using our full stack for building agents -- LangGraph, LangGraph Platform, LangSmith, and LangChain. Sherwood Callawayand and Keith Fearon cover the technical journey from ReAct to Multi-Agent architecture,

🤖How and when to build multi-agent systems Two really good blog posts (from Anthropic & Cognition) came out last week on building (or NOT building) multi-agent systems ❌Cognition: Don’t Build Multi-Agents 📃Anthropic: How we built our multi-agent research system Despite

.UC Berkeley PhD student Shreya Shankar reveals why your LLM data pipelines keep failing - and shares research-backed approaches to address them. Watch the full session here: youtu.be/H-1QaLPnGsg/?u… Catch up on all the talks from Interrupt: interrupt.langchain.com/video/?utm_med…