At its core, Vellum provides a robust set of features that facilitate the entire lifecycle of AI application development. The platform offers a user-friendly interface that allows both technical and non-technical team members to collaborate effectively on AI projects. This collaborative approach bridges the gap between different departments, ensuring that AI initiatives align with business goals and technical capabilities.
One of the standout aspects of Vellum is its prompt engineering capabilities. The platform provides a shared playground where teams can test and evaluate prompts with dynamic values. This feature is crucial for optimizing AI interactions and ensuring that the language models produce the desired outputs consistently. The side-by-side comparison feature allows developers to quickly assess different prompt-model combinations, significantly speeding up the development process.
Vellum's workflow builder is another powerful component of the platform. It enables users to create multi-step AI workflows that integrate business logic, data, APIs, and dynamic prompts. This flexibility allows for the creation of complex AI systems that can handle a wide range of use cases, from simple chatbots to sophisticated data analysis tools.
The platform also excels in the area of evaluation and testing. Vellum offers a comprehensive evaluation framework that allows users to assess prompt and model performance using custom metrics and a bank of test cases. This feature is invaluable for identifying the best combinations of prompts and models, ensuring that AI applications meet quality standards before deployment.
Deployment management is another area where Vellum shines. The platform provides version control, monitoring, and the ability to update prompts without code changes. This level of control and flexibility is crucial for maintaining and improving AI applications in production environments. It allows teams to iterate quickly and respond to changing requirements or performance issues without disrupting the entire system.
Vellum also addresses one of the key challenges in AI development: data retrieval and context. The platform offers document retrieval capabilities, allowing users to upload, filter, and search proprietary data to use as context in LLM calls. This feature enables the creation of personalized AI experiences that can leverage an organization's specific knowledge base.
Security and compliance are top priorities for Vellum. The platform is SOC2 Type II and HIPAA compliant, making it suitable for use in industries with strict data protection requirements. It also offers Virtual Private Cloud deployments for organizations that need enhanced security and control over their AI infrastructure.
Key features of Vellum include:
Vellum aims to provide a comprehensive solution for organizations looking to develop and deploy AI applications efficiently and effectively. By offering a suite of tools that cover the entire AI development lifecycle, Vellum positions itself as a valuable asset for businesses seeking to leverage the power of large language models in their operations.
