vellum-ai

An AI application development platform supporting prompt engineering, workflow orchestration, and model performance monitoring

Agent Development Knowledge Base Developer Tools Team Collaboration

Overview Alternatives

Monthly Visits

395.6K

Avg. Session Duration

0 min

Category Rank

#2112

Bounce Rate

0.3%

What is vellum-ai?

Vellum AI is an all-in-one platform that accelerates the development and deployment of AI applications, particularly those powered by large language models. It provides a unified environment for both technical and non-technical teams to perform prompt engineering, workflow orchestration, evaluation, and continuous optimization. Vellum supports integration with a wide range of AI models—including open-source, closed-source, and self-hosted options—enabling users to efficiently compare and optimize AI performance. With a low-code interface combined with a code-based SDK, it fosters cross-team collaboration and supports rapid iteration and deployment without the need for frequent full-scale releases. Additionally, Vellum offers advanced monitoring and observability tools to track AI decision-making, costs, and latency, ensuring reliability and transparency in production environments.

Key Features of vellum-ai?

Collaborative Prompt Engineering

Visual and code tools for defining, editing, and testing prompts for multiple AI models in a shared environment.

Multi-Model Playground

Seamlessly compare and switch between AI providers and models, supporting both open-source and proprietary options.

Workflow Builder

Create complex AI workflows and agent systems using a declarative, type-safe framework with combined graphical and code interfaces.

Integrated Evaluation and Testing

Quantitative testing framework with customizable metrics and test case management for rigorous AI performance assessment prior to deployment.

Continuous Deployment and Monitoring

Version control and one-click deployment with real-time monitoring of AI inputs, outputs, latency, costs, and decision traces.

Document Retrieval and RAG Pipeline

Built-in semantic search and Retrieval-Augmented Generation (RAG) capabilities, supporting document uploads and vector databases.

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vellum-ai