LangChain

🎙️🤖 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 🚀 https://lnkd.in/g5wKEE-f

📚 🛠️ 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://lnkd.in/gz9Qh7V6

🧠 🤖 Deep Agents Simple tool calling loops fail on longer time horizon or more complex tasks Deep Agents like Deep Research, Claude Code & Manus succeed by using a number of tools and tricks We created a new Python package which makes it easy to build your own Deep Agents! The core algorithm for Deep Agents is actually the same - it’s an LLM running in a loop calling tools. The difference is: - Planning tool - Sub agents - File system - A detailed system prompt (prompting is not dead!) Blog about this: https://lnkd.in/gJdRCTC2 We made a python package to make it easy to get started building these types of agents Comes with built in planning tools, sub agents, (virtual) file system, and a detailed system prompt Super easy to get started! `pip install deepagents` GitHub: https://lnkd.in/gDpiSiXi

Creating 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: https://lnkd.in/ebcfc-P4

How Bertelsmann slashed content discovery time from hours to seconds with LangGraph Bertelsmann SE & Co. KGaA is one of the world's largest media empires. Their Content Search, built by the AI Hub team, is a multi-agent system that lets creative teams instantly search across their vast content portfolio of books, films, news, and more. With LangGraph, they've been able to: 🔹 Deploy specialized agents to production for every content domain including books, news, TV, web 🔹 Reuse agents as modular APIs across both local UIs and centralized systems 🔹 Cut search time from hours to seconds across dozens of fragmented systems Read the full story: https://lnkd.in/gqmKJaY4

We just released LangGraph v0.6 over at LangChain! This is our last minor release before the big v1 milestone 🎯. ✨ A new context API for cleaner, type-safe runtime dependency injection 🔀 Dynamic model & tool selection for create_react_agent 🛡️ Enhanced type safety & autocomplete for graph building and invocation  🏗️ durability mode for fine-grained persistence control See our release notes for a full summary + some short demo snippets: https://lnkd.in/eWzB729F.

Agentic apps are here — but traditional infra wasn’t built to support them. Agent runs take time and need to persist context, wait for human feedback, and absorb bursty traffic. In our latest blog post, we break down why agent infrastructure is essential for running reliable agents at scale. Inside the post: ✅ Why long-running, stateful agents break serverless norms ✅ What a good agent infrastructure entails ✅ How LangGraph Platform helps you deploy agents in production Read it here 👉 https://lnkd.in/gju-9Qtz

⚡ 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 email agent, tackle your questions in real-time, and finish with a happy hour where you can connect with other AI builders. 🤝 Reserve your spot for $149: https://lnkd.in/g-JwVwcn

🇬🇧 LangChain in London! 🇬🇧 Our amazing LangChain Ambassadors and Community Champions Chaeyoon K. Marlene Mhangami Sri Rang श्री रंग teamed up to host a London meetup with Microsoft, featuring LangChain Founding Engineer and LangGraph Architect Nuno Campos. 🔥 Topics included: - MCP & Background Agents with LangChain (Marlene Mhangami) - New AI Interfaces: Voice Agents (Pablo Elgueta Truffello) - Governing Autonomous Agents in the Enterprise (Sri Rang श्री रंग) - What's different about LLM apps (Nuno Campos) Hear about future events ➡️ https://lnkd.in/gp2rxZay

🤖 🛡️ Cleanlab Trust Scoring Cleanlab's powerful trust scoring system prevents AI hallucinations in customer support, seamlessly integrating with LangGraph to detect and block problematic responses before reaching users. Explore the technical implementation here: https://lnkd.in/gT-FxHrW