LangChain

The page explains how structured text splitting with HTML Header Text Splitter preserves context and can improve RAG retrieval accuracy and LLM responses.

The page explains how to implement application-specific long-term memory in AI agents with OpenGPTs and describes memory types and a working D&D chatbot example.

The page explains how agent engineering combines product thinking, engineering, and data science to build reliable LLM systems, with iterative testing.

The page features tutorials, case studies, and technical insights on building AI agents with LangSmith, Deep Agents, LangGraph, and LangChain.

The company is a growing team of builders focused on helping companies own their intelligence.

The page lists pricing for LangChain products, with plans for individual developers and enterprises.

The page overviews alternatives to LangChain, the aspects of agent engineering they cover, and other tools that may be needed to run agents in production.

Compare LangChain and LlamaIndex for building production-grade AI agents.

AutoGen entered maintenance mode in October 2025; Microsoft Agent Framework reached 1.0 GA in April 2026. Compare LangGraph vs. MAF across nine production dimensions.

The page compares LangGraph and Temporal for AI agent workflows, including LangGraph’s agent-native orchestration and Temporal’s durable execution approach.

LangChain is the platform companies use to own their agent intelligence, from open source frameworks to production-ready infrastructure.

LangChain enables every company to own their intelligence. Control, govern, and compound intelligence with an open agent engineering platform.

LangChain, Inc.’s Privacy Policy explains what personal information it collects, how it uses and shares that information, and users’ choices concerning its privacy and information practices.

“Affiliate” means an entity that owns or controls, is owned or controlled by, or is under common control or ownership with a party. “Control” is the direct or indirect power to direct an entity’s management and policies, through ownership of voting securities, contract, or otherwise.

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A first-party Spheron case study documents a customer workload running 100 concurrent AI agent sessions on Spheron bare-metal H100 GPU infrastructure, including deployment configuration, performance measurements, and operating costs.

Mar 2026 · SpheronBlog post

LangChain raises $125 million at a $1.25 billion valuation in a round led by IVP. New investors CapitalG and Sapphire Ventures join existing backers Sequoia, Benchmark, and Amplify. Founded in 2022 by Harrison Chase as an open-source project, the company has expanded into an agent-building platform and updates LangChain, LangGraph, and LangSmith alongside the financing announcement.

Oct 2025 · TechCrunchNews article