Vellum

Key Information

Key Features

• Prompt engineering
• Workflows
• Document retrieval
• Evaluations
• Deployment
• Monitoring
• Role-Based Access Control
• VPC install
• External monitoring integrations
• Single Sign-On

Pricing

• Growth - Contact for Pricing
• Enterprise - Contact for Pricing

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What is Vellum?

Vellum is an AI development platform designed to streamline the process of building and deploying large language model (LLM) applications. It provides a comprehensive set of tools for prompt engineering, workflow creation, and evaluation, allowing developers to test and refine AI features without needing to redeploy code. This platform is particularly useful for collaborative environments, where both technical and non-technical team members can work together to optimize AI applications.

Vellum's capabilities extend to document retrieval and semantic search, enabling users to integrate proprietary data into their AI systems. This feature is crucial for creating personalized AI experiences by providing relevant context in real-time. Additionally, Vellum supports the deployment of AI features to production environments, ensuring that updates can be made quickly and efficiently.

Features

• Prompt Engineering: This feature allows users to test and evaluate prompts with dynamic values in a shared environment. It facilitates collaboration among team members to refine prompts for optimal performance.
• Workflows: Vellum enables the creation of multi-step AI workflows that integrate business logic, data, APIs, and dynamic prompts. This capability supports a wide range of use cases, from chatbots to content generation.
• Document Retrieval: Users can upload various file types, such as text, PDFs, and images, to Vellum's document index. The platform offers metadata filtering and semantic search capabilities to retrieve relevant information in real-time.
• Evaluations: The evaluation framework allows users to assess prompt and model performance using custom metrics and test cases. This helps identify the most effective configurations for specific AI applications.
• Deployment: Vellum supports the deployment of AI features with version control and monitoring. It allows updates to prompts without requiring code changes, making it easier to manage AI applications in production.
• Monitoring: The platform includes tools for monitoring AI application performance, ensuring that any issues can be quickly identified and addressed.
• Role-Based Access Control: This feature provides secure access management by assigning roles to users, ensuring that only authorized personnel can modify or access sensitive AI configurations.
• VPC Install: Vellum offers the option for a self-hosted installation in a virtual private cloud (VPC), providing flexibility for organizations with specific infrastructure requirements.
• External Monitoring Integrations: Users can integrate Vellum with external monitoring tools to enhance oversight and control over AI applications.
• Single Sign-On: This feature simplifies user authentication by allowing users to access Vellum with a single set of credentials across multiple platforms.

Pros

• Streamlined AI Development: Vellum accelerates the development process by allowing teams to prototype and deploy AI applications quickly.
• Collaborative Environment: It fosters collaboration among diverse team members, including developers, designers, and product managers.
• Flexible Deployment Options: The platform supports both cloud-based and self-hosted deployments, catering to different organizational needs.
• Advanced Retrieval Capabilities: Vellum offers sophisticated document retrieval and semantic search features to enhance AI application performance.
• Customizable Workflows: Users can create complex workflows that integrate various data sources and APIs.

Cons

• Complexity for Beginners: The platform may require a learning curve for users without extensive experience in AI development.
• Limited Public Pricing Information: Pricing details are not publicly available, which can make it difficult for potential users to plan budgets.

Vellum Pricing

The pricing for Vellum is structured into two main plans:

• Growth Plan - Contact for Pricing
• Includes features like prompt engineering, workflows, document retrieval, evaluations, deployment, and monitoring for up to 10 users.
• Enterprise Plan - Contact for Pricing
• Offers all features from the Growth Plan plus additional capabilities such as Role-Based Access Control, multiple workspaces, VPC install, external monitoring integrations, Single Sign-On, custom contracts, and enterprise support with SLAs.

Frequently Asked Questions

1. What functions does a freemium account of Vellum have?

Vellum does not offer a freemium account with limited features. Instead, users must contact the company for pricing details on its Growth and Enterprise plans.

2. How does Vellum compare to similar tools?

Vellum stands out with its focus on collaborative AI development and its ability to integrate proprietary data into AI applications. It provides a comprehensive suite of tools for prompt engineering, workflow creation, and deployment, making it a robust choice for organizations looking to streamline their AI development processes.

3. What is the duration of the free trial for Vellum?

Vellum does not offer a free trial. Interested users can request a demo to explore the platform's capabilities.

4. What are the usage limits for Vellum's Growth Plan?

The Growth Plan supports up to 10 users and includes a limit of up to 1 million pages for document retrieval.

5. Is Vellum available in multiple languages?

There is no information available on whether Vellum supports multiple languages. Users should contact the company for specific details on language support.

6. How does Vellum handle copyright and licensing for user-uploaded content?

Vellum allows users to upload proprietary data, but specific details on copyright and licensing policies should be clarified with the company directly.

7. What is the refund policy for Vellum?

Refund policies are not publicly disclosed. Users should inquire about refund terms when contacting Vellum for pricing information.

8. What are the prerequisites for using Vellum effectively?

To use Vellum effectively, users should have a basic understanding of AI development principles and experience with large language models. However, the platform is designed to be accessible to both technical and non-technical team members.

9. What are some outstanding features of Vellum?

Vellum's standout features include its side-by-side comparison tool for prompt and model testing, advanced document retrieval capabilities, and the ability to deploy AI features without requiring code changes.

10. How can Vellum be used effectively in real-world scenarios?

Vellum can be used to build AI-powered chatbots, automate content generation, and extract information from large datasets efficiently. It is particularly useful for prototyping and deploying new AI applications quickly and securely.