RavenDB Launches GenAI Capabilities Directly into the Operational Data Layer

Hadera, Israel and Santa Clara, Calif. (OTE) – This new feature will
turn the operational database into a powerful
native AI engine, responding to the growing demand for engineering
teams to deliver GenAI capabilities.

RavenDB, a high-performance NoSQL document database trusted by
developers and enterprises worldwide, today announced the launch of
its new feature, bringing native Generative AI (GenAI) capabilities
directly into its core database engine, marking a new chapter in how
data and intelligence converge to drive real-time innovation.

RavenDB now brings GenAI to the data layer, eliminating the need
for middleware, external orchestration, or costly third-party
services. Developers can generate, enrich, classify, and automate
content and decisions directly within the database using any large
language model (LLM) they choose. By embedding AI where the data
lives, RavenDB enables secure, efficient, real-time execution without
external add-ons.

„This is more than just a feature, it’s a fundamental rethinking
of where AI belongs in the software stack,“ said Oren Eini, CEO and
Founder of RavenDB. „We’re empowering organizations, from startups to
global enterprises, to create intelligent applications without
complexity or compromise by placing AI where it belongs: inside the
data engine.“

Unlike most GenAI solutions, which rely on fragile service
wrappers or proprietary cloud stacks, RavenDB takes a radically
straightforward approach: let your data do more natively . Built-in
summarization, classification, and tagging support turn traditional
queries into intelligent, real-time actions. The feature also allows
RavenDB users to leverage their data to generate additional documents
and information, enriching the dataset directly from within the
database. In short, your data doesn’t just answer questions; it
evolves, expands, and works for you.

RavenDB’s new feature supports any LLM (open-source or commercial
), allowing teams to run GenAI tasks directly inside the database.
Moving from prototype to production traditionally requires complex
data pipelines, vendor-specific APIs, external services, and
significant engineering effort. With this feature, RavenDB removes
those barriers and bridges the gap between experimentation and
production, giving developers complete control over cost,
performance, and compliance. The result is a seamless transition from
idea to implementation, making the leap to production almost as
effortless as prototyping.

What sets RavenDB apart is its fully integrated, flexible
approach: developers can use any LLM on their terms. It’s optimized
for cost and performance with smarter caching and fewer API calls,
and includes enterprise-ready capabilities such as governance,
monitoring, and built-in security, designed to meet the demands of
modern, intelligent applications.

By collapsing multiple infrastructure layers into a single
intelligent operational database, RavenDB’s native GenAI capabilities
significantly upgrade its data layer. This enhancement accelerates
innovation by removing complexity for engineering leaders. Whether
classifying documents, summarizing customer interactions, or
automating workflows, teams can build powerful features directly from
the data they already manage, with no dedicated AI team required.

The announcement coincides with the AI and Big Data Expo in Santa
Clara, where RavenDB will demonstrate how its new native GenAI
feature removes traditional barriers to adoption, marking a strategic
evolution in modern application development. Available starting
today, the feature includes built-in support for observability,
security, and compliance, and is ready for everything from real-time
personalization to enterprise-grade document automation.

About RavenDB:

RavenDB is a hybrid NoSQL document database built for modern
application development. Used by 12,000 companies across 50
industries, RavenDB helps teams move faster with seamless data
management across cloud, on-prem, and edge environments. With full-
text search, automatic indexes, and an easy-to-use studio for
monitoring and administration, RavenDB is the database developers
love and enterprises trust. Learn more at www.ravendb.net .

Media Contact

Shahni Ben-Haim

[email protected]

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