Key Features
About Dust
Dust provides infrastructure for designing and deploying applications powered by large language models and AI agents. The platform allows creating workflows that combine LLMs, tools, and data sources to accomplish complex tasks. Dust's strength lies in its flexibility—it supports various LLMs and provides building blocks for creating custom AI applications. The platform's visual builder makes complex workflows understandable and maintainable. Dust's agents can access company data, use tools, and execute multi-step processes. With features like version control, testing, and deployment management, Dust serves teams building production AI applications. The platform's focus on reliability and observability makes it suitable for business-critical applications. For companies wanting to build custom AI solutions beyond simple chatbots, Dust provides essential infrastructure.
Pros & Cons
Pros
- Flexible
- Production-ready
- Good observability
- Multi-LLM
- Professional
Cons
- •Expensive
- •Technical complexity
- •Learning curve
- •Requires development