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LangChain releases LangGraph.js v0.2 with new features for building and deploying JavaScript agents, including support for LangGraph Cloud and LangGraph Studio. (Read More)
LangChain has introduced LangGraph templates for Python and JS, designed for easy configuration and deployment to LangGraph Cloud. (Read More)
LangChain announces the release of version 0.3, introducing significant changes and improvements for both Python and JavaScript ecosystems. (Read More)
LangChain introduces LangGraph Studio, a specialized IDE for developing, visualizing, and debugging agentic applications, now available in open beta. (Read More)
LangChain revamps integration docs with a standardized format and enhanced API references for faster information retrieval. (Read More)
LangChain explores the limitations and future of planning for agents with LLMs, highlighting cognitive architectures and current fixes. (Read More)
LangChain introduces key improvements to its core tool interfaces and documentation, simplifying tool integration, input handling, and error management. (Read More)
LangChain Blog explains the deployment of a multi-agent flow on LangGraph Cloud, enhancing GPT Researcher with a complex AI workflow. (Read More)
Discover the importance of outsourcing agentic infrastructure while owning cognitive architecture for efficient and reliable agent applications. (Read More)
LangChain announces updates for LangGraph Cloud, LangSmith, and LangGraph documentation, along with upcoming events and hackathons. (Read More)
LangChain introduces LangGraph Cloud in closed beta and self-improving evaluators in LangSmith. Discover the new features and updates. (Read More)
LangChain announces the release of LangGraph v0.1 and LangGraph Cloud, providing tools for scalable and reliable AI agent deployment. (Read More)
LangChain's new self-improving evaluators for LLM-as-a-Judge aim to align AI outputs with human preferences, leveraging few-shot learning and user feedback. (Read More)
LangChain introduces new features for LangSmith, LangGraph, and generative UI applications. (Read More)
LangChain's first AI Agent Conference, Interrupt 2025, showcased new product launches and industry insights. Key themes included agent engineering and AI observability. (Read More)
Explore the intricacies of agent frameworks, their role in AI systems, and the challenges in ensuring reliable context for LLMs, as discussed in LangChain Blog. (Read More)
Vodafone implements AI-driven solutions using LangChain and LangGraph to optimize data operations and improve performance metrics monitoring and information retrieval across its data centers. (Read More)
LangChain introduces OpenEvals and AgentEvals to streamline evaluation processes for large language models, offering pre-built tools and frameworks for developers. (Read More)
LangChain unveils the LangMem SDK, enabling AI agents to utilize long-term memory for improved learning and personalization, enhancing adaptive agent capabilities. (Read More)
LangSmith SDK v0.2 introduces simplified evaluation methods, improved performance, and enhanced documentation, significantly improving developer experience across Python and TypeScript. (Read More)
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