RecordingHow To Create Powerful and Secure AI Agents with RavenDB

time to read 2 min | 237 words


Unlock practical AI agents inside your database. In this live demo and deep dive, Oren Eini shows how to build real, production-ready AI agents directly in RavenDB that query your data, take actions, remember context, and stay inside strict security guardrails. You will see an agent defined in a few lines of code, connected to OpenAI or any LLM you choose, running vector search and RAG over your catalog, and safely executing business actions like “add to cart,” “find policies,” or “sign document,” all with parameters that are enforced by the database rather than trusted to the model. You will learn how RavenDB agents eliminate fragile glue code by giving the model explicit tools: data queries that return typed results and server-side actions you validate in your code.

Conversations are stored as documents, with automatic token-aware summarization to control latency and cost. The demo streams responses token by token for responsive UX, switches models without rewrites, and shows how scope parameters prevent data leaks even if the prompt is manipulated. You will also see a multi-tool HR assistant that chains tools, coordinates front end and back end, and persists state. The session closes with a look at the roadmap, including multi-agent orchestration and AI assist inside Studio.

More posts in "Recording" series:

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  2. (22 Sep 2025) How To Create Powerful and Secure AI Agents with RavenDB
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  4. (30 Apr 2025) Practical AI Integration with RavenDB
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  7. (15 Jan 2024) S06E09 - From Code Generation to Revolutionary RavenDB
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