A More Powerful, Code-First Knowledge Base Experience on the DigitalOcean Gradientâ„¢ AI Platform
Blog post from DigitalOcean
DigitalOcean has enhanced its Gradientâ„¢ AI Platform with new features for building production-ready retrieval-augmented generation (RAG) systems, now available in public preview. The platform's code-first approach allows developers to create, manage, and query knowledge bases entirely through code, offering complete control over data ingestion, chunking, embedding, and retrieval without the need to manage infrastructure. The improvements include direct API access for seamless integration, customizable content ingestion from various sources, flexible chunking and embedding strategies, and advanced retrieval techniques with citation-backed answers. These features aim to address the challenges developers face in scaling and customizing knowledge bases for production workflows, providing a comprehensive toolkit that supports natural language queries, metadata filters, and hybrid search capabilities. The enhancements are designed to streamline the development of smarter AI applications by enabling developers to transform data into actionable, context-rich answers efficiently.