Hadera, Israel (OTE) – Unlike the limited embedded solutions on the
market, this first-of-
its-kind feature lets developers build fully native AI agents to turn
existing data into personalized experiences.
RavenDB , a multi-model NoSQL document database trusted by
developers and enterprises worldwide, today announced the launch of
its AI Agent Creator, a first-to-market feature fully integrated into
the database, that reduces the time required to build AI agents from
weeks, months, or even years to just days.
Gartner recently named AI agents one of the fastest-rising
technologies on its 2025 Hype Cycle, yet a recent MIT study found
that 95% of enterprise AI projects fail to deliver business impact,
not because the models fall short, but because embedding them into
workflows and data systems is too complex. RavenDB’s AI Agent Creator
removes that barrier by running agents natively inside the database,
giving developers secure, direct access to operational data. By
keeping agents close to the data and automating integration, RavenDB
turns months of uncertainty into days of reliable, context-aware AI
delivery.
„Consumers can already plan meals, design entire trips, or get
advice from AI platforms such as ChatGPT and Gemini in seconds, yet
enterprises are still stuck with rigid, scripted chatbots,“ said Oren
Eini, CEO and Founder of RavenDB. „Our AI Agent Creator is the
missing piece, enabling developers to build fully integrated agents
directly within the database, with secure access to live operational
data so that they can go from idea to proof of concept in minutes,
and production-ready agents in a matter of just a few days.“
Unlike scripted bots or AI-assisted chatbots limited to generic
knowledge, with the AI Agent Creator, developers can deploy
intelligent agents with built-in guardrails. Developers define the
scope in which each agent can operate on behalf of specific users,
while seamlessly connecting to existing validation, authorization,
and business logic. To give developers stronger control, enhanced
safety, and greater precision over how data and operations are
accessed, the large language model (LLM) follows a zero trust,
default deny approach, where no data or operations are accessible
unless explicitly approved.
When an end-user submits a request in natural language, RavenDB
invokes the agent to process the request and communicates the tools
and actions it has within the scope defined by the developer. RavenDB
then orchestrates the entire flow, referencing existing business
logic to perform approved operations. This process provides accurate,
personalized responses without ever exposing the full database,
moving data to external servers, writing complex code, or
compromising security.
The feature supports all LLMs and uses smart caching, summarizing
agent memory and history, reducing redundant requests for reasoning-
intensive tasks. This significantly cuts AI spend and optimizes costs
without sacrificing accuracy, making it a critical efficiency tool in
agentic AI workflows.
Now available as part of RavenDB 7.1, the AI Agent Creator lets
customers start building and deploying agents immediately, without re
-architecting systems or compromising data security. RavenDB agentic
AI runs across cloud, on-premise, and edge environments.
To start using RavenDB’s AI Agent Creator Tool today, visit:
article&utm_campaign=ai_agents_pr_2025
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 .
Digital press kit: http://www.ots.at/pressemappe/PR172497/aom