Langchain
25 mentions across 3 people
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“Now, Langchain, in case you didn't know, makes the most widely used open-source Genaii framework for developers.”
AI Hackathon Pioneers Real Estate Industry Innovation ↗“I built Fabric AI and I started using lang chain and pine cone etc. And then open AI released 40 and became so much better. I just ripped out my entire back stack”
Venture Capital in 2025: AI Gold Rush Meets Liquidity Drought in a Low-Low Marke ↗
“So for Gemini we work with lang chain lama index and all of a gentic libraries. Same for YAML.”
Anthropic's Mythos Model: A Cybersecurity Game Changer Stirs Debate on AI Availa ↗“Blog post by LangChain”
LangChain Fleet Integrates Arcade.dev for Enhanced Agent Tooling ↗“Like it actually really describes like everything we've done at Langchain”
The Evolution of LLM Agent Development from Scaffolds to Long-Horizon Agent Harn ↗“And Harrison Chase, co-founder and CEO of LangChain, both pioneering and blazing the trail on all things data.”
The Shift to AI-Native Infrastructure: From Deterministic Code to Agentic Orches ↗“hi and welcome to training data we have with us today Harrison Chase founder and CEO of Lang chain Harrison is a legend in the agent ecos system as the product Visionary who first connected llms with tools in action and Lang chain is the most popular agent building framework in the AI space today”
LangChain’s Role in Orchestrating the Agentic AI Paradigm ↗“Blog post by LangChain”
Moda: AI-Powered Design Platform Leveraging Deep Agents and LangSmith for Produc ↗“Harrison Chase, co-founder and CEO of Langchain. Harrison has been one of the key figures in the rise of AI infrastructure and agents. From Lang Chain's early days as an open source framework to the broader evolution of Langraph, deep agents, Langmith, and agent builder, this episode is a deep dive into the frontier of the AI stack.”
The AI Agent Harness: A Deep Dive with LangChain’s Harrison Chase ↗“I actually spent a lot of time working on the deep agents harness at Lang Chain.”
Context Engineering for LLM Agents: Key Techniques and Emerging Trends ↗“Tell us about yourself and about Langchain.”
The Evolution of AI Agents: From Simple LLM Calls to Autonomous Deep Agents ↗“Blog post by LangChain”
Trellix Leverages LangChain for Cybersecurity Automation and Efficiency ↗