• A More Powerful, Code-First Knowledge Base Experience on the DigitalOcean Gradient™ AI Platform ByGrace Morgan Updated:February 3, 2026 2 min read Building production-ready retrieval-augmented generation (RAG) systems can be complex, time-consuming, and often requires months of engineering effort. • Developers and enterprises struggle to ingest diverse data sources, structure content for semantic search, and maintain accurate, verifiable answers. • Enhancements toDigitalOcean Gradient™ AI Knowledge Bases, now inpublic preview, are designed to solve this problem. • Its code-first feature lets developers create, manage, and query knowledge bases entirely from code, giving full control over ingestion, chunking, embedding, and retrieval without having to worry about the underlying infrastructure. • Flexible, production-ready toolkit Many existing solutions let developers create a basic knowledge base, but they often struggle to scale, customize, or integrate it into production workflows. • The improvements address this by providing a code-first, developer-focused toolkit that handles the full knowledge base lifecycle.
Article Summaries:
- DigitalOcean’s Gradient AI platform has launched a public preview of a code‑first knowledge‑base experience. The update lets developers build, ingest, chunk, embed, and query knowledge bases entirely through APIs and SDKs, eliminating the need for manual infrastructure setup. Features include flexible ingestion from files, Dropbox, web crawlers, and structured data; customizable chunking and embedding models (including multilingual options); and advanced retrieval with exact‑page citations, metadata filters, and hybrid search. The preview also offers direct API access to knowledge bases, enabling seamless integration into RAG pipelines and production workflows. Developers can enable the preview in the DigitalOcean console and start experimenting within 10-15 minutes.
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