Vellum AI

What is Vellum AI?

Vellum AI is a development platform built for creating Large Language Model (LLM) applications. It is your go-to toolkit for everything LLM-related. It offers tools for prompt engineering, semantic search, version control, testing, monitoring, and collaboration. You can easily compare, test, and work together on prompts and models. Plus, you can bring in your own data to make the AI even more accurate. Vellum AI helps you deploy, version, and monitor changes to your LLMs efficiently. It even includes a no-code builder for LLMs, workflow automation, and a bunch of AI features like chatbots, sentiment analysis, and more. People really like it because it’s easy to use, deploys quickly, has great monitoring tools, and makes collaboration a breeze.

Who created Vellum AI?

Daniel Weiner, who is the Founder at Autobound, created Vellum. The platform first launched on November 29, 2023. It was designed from the ground up as a development platform specifically for building Large Language Model (LLM) applications. Vellum gives you tools for prompt engineering, semantic search, version control, testing, monitoring, and collaboration. It works with all the major LLM providers, so you can bring LLM-powered features into production using its prompt engineering tools.

What is Vellum AI used for?

• Chatbots: Build interactive conversational agents.
• Summarization: Condense long texts into shorter, digestible versions.
• Workflow automation: Streamline repetitive tasks.
• Sentiment Analysis: Understand the emotional tone of text.
• Data extraction: Pull specific information from documents.
• Document analysis: Process and understand the content of documents.
• Topic summarizer: Get quick overviews of key themes.
• Vector search: Find information based on semantic meaning.
• Dialogue generation: Create natural-sounding conversations.
• Blog generator: Assist in creating blog content.
• Email generator: Help draft emails.
• Prompt engineering on steroids: Master the art of crafting effective prompts.
• Compose Complex Multi-Step Chains: Build intricate sequences of AI actions.
• Evaluate Prompts at Scale: Test and refine prompts efficiently.
• Copilots: Develop AI assistants for specific tasks.
• Fine-tuning: Customize models for specific needs.
• Q&A over Docs: Build systems that answer questions based on your documents.
• Intent classification: Determine the user’s goal from their input.
• Out-of-Box RAG: Quickly implement Retrieval Augmented Generation.
• Deploy Changes With Confidence: Manage updates securely.

Who is Vellum AI for?

Vellum AI is a great tool for a wide range of professionals and teams working with AI:

• Engineers
• Artificial Intelligence Developers
• Data scientists
• Product teams
• Engineers
• Data Scientists
• AI application developers
• AI experts
• Startups
• AI teams
• Developers
• Co-Founder & CEO
• Co-Founder & CTO
• Founder & CEO
• Partner & CTO
• Founder
• VP of Technology and Design
• Full Stack Engineer
• AI Product Manager
• Senior Product Manager
• Lead Developer
• Head of Operations
• Chief Scientific Officer
• Founder @ Autobound
• VP of Technology and Design @ Rentgrata
• Full Stack Engineer @ Lavender
• Partner & CTO at Left Field Labs

How to use Vellum AI?

Getting started with Vellum is straightforward. Here’s a breakdown of how you can use its features:

1. Prompt Engineering: You can experiment with new prompts and models without impacting your live production environment. It’s easy to evaluate your prompts using quantitative metrics or by setting your own standards.
2. Compose Complex Chains: Prototype, test, and deploy intricate chains of prompts and logic. Vellum provides versioning, debugging, and monitoring tools to help you manage these complex workflows.
3. Out-of-Box RAG: Get started quickly with Retrieval Augmented Generation (RAG) functionality. You don’t need to set up your own backend infrastructure for this.
4. Deployment: Manage changes to your prompts and prompt chains with a release management system that’s similar to how you’d use GitHub. You can monitor performance and catch any edge cases that might appear in production.
5. Testing & Evaluation: Use test suites to evaluate LLM outputs at a large scale, ensuring the quality and reliability of your AI applications.
6. No-Code LLM Builder: If coding isn’t your strong suit, you can still build various LLM-powered applications using the no-code builder.
7. Additional Features: Vellum also supports workflow automation, document analysis, building copilots, Q&A systems over your documents, intent classification, summarization, sentiment analysis, chatbots, and much more.
8. Customer Feedback: Users consistently praise Vellum for how easy it is to use, its fast deployment speeds, detailed monitoring capabilities, and effective prompt testing features.
9. Flexibility: You have the freedom to choose the best LLM provider and model for each specific task, avoiding vendor lock-in.
10. Collaboration: Vellum makes it easier for teams to collaborate, streamlining development, deployment, and monitoring processes.

Vellum offers a complete platform for building LLM applications. It provides all the necessary tools for experimentation, evaluation, deployment, and monitoring. With its wide range of features and the flexibility to use different LLMs, Vellum is a really valuable tool for development teams looking to effectively harness the power of AI.