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Google Cloud Database and LangChain integrations now support Go, Java, and JavaScript

  • Last year, Google Cloud and LangChain announced integrations to give generative AI developers access to LangChain Python packages for leveraging Google Cloud's database portfolio.
  • The integrations have now expanded language support to include Go, Java, and JavaScript.
  • Developers can use vector stores, chat message history, and document loaders within the LangChain integrations.
  • This technology enables applications like personalized product recommendations, question answering, and customer service automation.
  • Java and Go are commonly used for production-grade applications, while JavaScript and TypeScript are preferred for asynchronous programming and front-end compatibility.
  • Google Cloud integrates secure connections, SSL certificate handling, and IAM authentication for PostgreSQL databases.
  • LangChain.js for JavaScript developers provides tools for connecting large language models to data sources and reasoning capabilities.
  • LangChain4j is available for Java developers, offering access to VertexAI Gemini models for LLM-powered applications.
  • LangChainGo supports Go developers with AlloyDB and Cloud SQL for PostgreSQL integration for data-aware and agentic applications.
  • Integrations include vector stores, memory, and document loaders, with code snippets provided for each language.

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