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How Google Uses LangChain

9 engineering articles about LangChain from Google's engineering team

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Intermediate
The article discusses the advancements in AI agents with the introduction of Gemini 3 Pro Preview, highlighting its capabilities for building sophisticated agents using open-source frameworks.
Philipp Schmid, Vishal Dharmadhikari
5 min read
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Intermediate
EmbeddingGemma is an innovative open embedding model designed for on-device AI applications, featuring 308 million parameters for efficient performance.
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The article discusses how to build AI agents using Google Gemini models in conjunction with various open-source frameworks.
Shrestha Basu Mallick, Philipp Schmid
4 min read
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Advanced
The article introduces the Agent2Agent (A2A) protocol, a new open standard aimed at enhancing interoperability among AI agents across various enterprise platforms.
Rao Surapaneni, Miku Jha, Michael Vakoc, Todd Segal
16 min read
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Intermediate
The article introduces the Agent Development Kit (ADK), an open-source framework by Google designed to facilitate the development of multi-agent applications.
Erwin Huizenga, Bo Yang
10 min read
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The Web AI Summit 2024, hosted by Google on October 18, 2024, focused on client-side AI for developers, showcasing how machine learning models can operate offline in web browsers.
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Advanced
The article discusses the integration of generative AI with a focus on privacy and confidentiality, highlighting Google's GenC open-source project and its application in mobile and cloud environmen...
Krzysztof Ostrowski, Rene Kolga
9 min read
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Intermediate
The article discusses the integration of Gemini models into Project IDX, enhancing full-stack, multiplatform software development with AI features.
Ali Satter, Roman Nurik
5 min read
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The article highlights the achievements and activities of Google Machine Learning communities in the second quarter of 2023, showcasing various training campaigns, community events, and innovative ...

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