RavenDB, a NoSQL document database, is debuting its new product, Quill, a context layer for SQL databases that makes them ready for production AI agents without migrating the system of record or architecting a custom AI stack.
As AI becomes the industry standard, organizations have been left without a clear path to deliver, until now, according to the company.
"Anyone can stand up an AI demo in an afternoon, but getting that demo into production with data pipelines, semantic search, security, governance, all the plumbing a small proof of concept doesn't need until it has to run at scale, is the hard part," said Oren Eini, founder and CEO of RavenDB. "Quill exists because we'd rather hand teams that plumbing already assembled than watch them rebuild the same project after project. You get access to the live data you need, decide the scope on day one, and change it as you go, instead of building everything from scratch."
Quill connects directly to an organization's existing SQL database and puts a context layer on top of it, making it possible to launch production-ready agents in weeks rather than months, typical of an in-house build, the company said.
The source system stays exactly where it is and remains authoritative, and the full AI stack, search, retrieval, and agents that can answer questions are included. Agents built on Quill support web chat, WhatsApp, Telegram, Slack, and Discord out of the box.
By default, Quill is governed, sitting between the AI and the source system, and it is built on the assumption that the model itself cannot be trusted with unrestricted access, so organizations decide exactly what an agent can and cannot see, independent of the source database's own permissions.
Quill is now available for organizations running PostgreSQL, SQL Server, or MySQL, with more databases to be supported in the future, and can be deployed in the cloud or on-premises to meet data-residency or regulatory requirements, the company said.
For more information about this news, visit www.ravendb.net.