Vellum AI

What is Vellum AI?

Vellum AI is an end-to-end development platform designed to streamline the creation, testing, and deployment of AI-powered applications, particularly those using large language models (LLMs). Founded in 2023, it empowers both technical and non-technical teams to collaborate on AI projects through intuitive tools like a visual workflow builder and SDKs. The platform addresses challenges such as prompt engineering, model evaluation, and production monitoring, enabling enterprises to build reliable and scalable AI systems. By offering features like semantic search, model chaining, and observability, Vellum helps organizations move from prototype to production-grade AI solutions efficiently. Its mission is to democratize AI development, making it accessible for startups and Fortune 500 companies alike to innovate confidently within secure, compliant frameworks.

Vellum AI's Core Features

• Prompt Engineering allows users to design, test, and iterate on prompts to optimize LLM performance for specific tasks.

• Workflows IDE enables the creation of complex AI systems, from simple prompts to agentic workflows, using a visual graph builder.

• Semantic Search enhances LLMs with context-aware query understanding for improved accuracy in applications like chatbots.

• Model Chaining supports sequential execution of multiple models, enabling complex multi-part queries for advanced AI tasks.

• Evaluations Framework provides tools to measure AI system quality, ensuring confident iteration and performance tracking.

• Retrieval-Augmented Generation (RAG) integrates proprietary data into LLM calls for personalized, context-rich responses.

• Observability Platform logs inputs, outputs, costs, and latency, offering full visibility for debugging and auditing AI systems.

• Role-Based Access Control (RBAC) ensures secure, tailored permissions for team collaboration across departments.

• SDK and UI Sync enables seamless switching between code and visual interfaces for rapid development and testing.

• Production Monitoring provides trace and graph views to identify edge cases and maintain system reliability.