Vellum AI

What is Vellum AI?

Vellum AI is a development platform for creating Large Language Model (LLM) applications. It covers prompt engineering, semantic search, version control, testing, monitoring, and collaboration. You can compare and test prompts and models, connect your own data to improve accuracy, and deploy, version, and monitor changes to your LLMs. It also includes a no-code builder, workflow automation, and AI features such as chatbots and sentiment analysis. Users cite its ease of use, fast deployment, monitoring tools, and collaboration features as strengths.

Who created Vellum AI?

Vellum was created by Daniel Weiner, Founder at Autobound. It was designed as a development platform specifically for building LLM applications and works with all major LLM providers.

What is Vellum AI used for?

• Chatbots and copilots: build conversational agents and task-specific AI assistants
• Prompt engineering: craft, evaluate, and refine prompts at scale
• Multi-step chains and workflow automation: compose sequences of AI actions and streamline repetitive tasks
• Summarization and content generation: condense long texts and draft dialogue, blog posts, and emails
• Data extraction and document analysis: pull specific information from documents and answer questions based on them
• Vector search and RAG: find information by semantic meaning and implement Retrieval Augmented Generation out of the box
• Sentiment analysis and intent classification: detect emotional tone and determine a user’s goal from their input
• Fine-tuning: customize models for specific needs

Who is Vellum AI for?

Vellum AI serves professionals and teams working with AI, including engineers, AI and application developers, data scientists, product managers, founders, and executives at startups and established companies.