Agent Cloud

Agent Cloud is a powerful open-source tool that helps companies easily create and manage private chat applications powered by Large Language Models (LLMs).

With Agent Cloud, teams can engage in secure conversations around their data, which significantly boosts both accessibility and insights. The platform supports both open-source and Cloud-based LLMs, making it incredibly flexible. This means you have the freedom to use your own open-source model or take advantage of established tools like OpenAI.

One of the standout features of Agent Cloud is its focus on privacy. Users can connect it to their locally hosted models, ensuring that sensitive data stays secure. Additionally, the platform is built to handle data from over 300 sources right out of the box, which means you won’t have to deal with complicated integration issues. It simplifies the process of organizing and managing your data, making it easy to break, split, and embed as needed.

The way conversations with your data work is straightforward. The platform syncs and stores information, allowing you to set up chat sessions using your preferred LLM. Plus, its data pipeline can operate automatically or be configured for manual use, scheduled on a regular basis, or based on a cron expression. This flexibility ensures you always have access to fresh, up-to-date data sources.

From an infrastructure standpoint, Agent Cloud features a modular architecture that grows with your organization. It includes a built-in ELT pipeline powered by Airbyte, a message bus supported by RabbitMQ, and a Vector Database driven by Qdrant. All of these components work together to provide you with a scalable, secure, and flexible platform for developing advanced AI applications while keeping your private information safe.