Introducing langchain-gradient: Seamless LangChain Integration with DigitalOcean Gradient™ AI Platform

Introducing langchain-gradient: Seamless LangChain Integration with DigitalOcean Gradient™ AI Platform Why langchain-gradient? Example Use Cases Get Started What’s Next Get Involved About the author Try DigitalOcean for free Related Articles Agentic Cloud: Reinventing the Cloud with AI Agents How to optimize your cloud architecture for business growth Choosing the Right DigitalOcean Offering for Your AI/ML Workload By Narasimha Badrinath Updated: August 19, 2025 2 min read We’re excited to introduce langchain-gradient , a new open-source integration that brings the power of LangChain to DigitalOcean Gradient AI Platform. LangChain is a popular framework for building applications powered by large language models (LLMs), with tools for chaining prompts, managing context, and connecting to external data sources. With this package, you can now seamlessly connect LangChain’s flexible orchestration framework to DigitalOcean’s scalable, developer-friendly AI infrastructure—making it easier than ever to build, and scale AI-powered applications. As AI adoption accelerates, developers are looking for ways to streamline the process of building and deploying intelligent applications. LangChain has been a go-to framework for chaining together LLMs, tools, and data sources. DigitalOcean Gradient AI, meanwhile, offers a simple, cost-effective platform for running AI workloads at scale. With langchain-gradient , you can now: Connect LangChain to Gradient AI Platform : Use Gradient AI Platform as a provider within your LangChain pipelines, unlocking ideas to production in just a few lines of code. Choose from multiple model options: Instantly access multiple AI models with GPU-accelerated, serverless inference on DigitalOcean. Stay open and flexible : The package is fully open-source and designed to work with the latest versions of LangChain and Gradient AI Platform. With LangChain and Gradient AI Platform working together, you can: Build retrieval-augmented chatbots that pull knowledge from your own files, databases, or cloud storage. Build retrieval-augmented chatbots that pull knowledge from your own files, databases, or cloud storage. Automate customer support workflows by chaining together intent detection, document search, and AI-powered responses.