AI Agents

Name: RavenDB
Author: RavenDB

Create conversational AI proxies for your applications.

AI agents are server-side components that act as secure proxies between RavenDB clients and AI models. They can be easily customized to handle specific client needs, tasks or workflows, such as answering questions, performing data analysis, or automating processes.

Using AI agents frees developers from the need to manage the communication with the AI model in their code, and enables rapid integration of AI capabilities into their applications.
An agent receives requests from clients and maintains continuous conversations with AI models to fulfill them. During the conversation, the agent can enable the model to securely query a RavenDB database (e.g., fetch recent orders or run vector searches on products) and request the client to perform actions (like sending emails or creating new orders).
You can use AI agents to quickly create an intelligent, actionable, conversational interface for your applications, in a way that abstracts much of the complexity of AI integration.

Use cases

Creating an AI agent and assigning it a role can be done in minutes using Studio or the API, making it easy to address a wide variety of use cases like -

Customer support chatbot agents
Data analysis and reporting agents
Content generation agents
Workflow automation agents
Intelligent recommendation agents

Technical documentation

Use the technical documentation to learn how to create and manage AI agents, configure secure database access, enable agents to trigger client actions, and more.