Vellum

The developer platform for building production AI applications.

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Overview

Vellum is a developer-focused platform that provides the tools to build, evaluate, and deploy large language model (LLM) applications. It offers features for prompt engineering, testing, and monitoring to ensure the quality and reliability of AI-powered features.

✨ Key Features

  • Prompt Engineering and Management
  • Testing and Evaluation
  • Deployment and Monitoring
  • Semantic Search
  • Workflow Orchestration
  • Collaboration Tools

🎯 Key Differentiators

  • End-to-end platform for the entire LLM application development lifecycle
  • Focus on testing, evaluation, and production readiness
  • Collaboration features for teams

Unique Value: A complete developer platform for building reliable and high-performing LLM-powered applications.

🎯 Use Cases (5)

Building and deploying production-grade LLM applications Developing AI-powered features for existing products Creating custom chatbots and virtual assistants Automating content generation and summarization Implementing semantic search and question-answering systems

✅ Best For

  • Developing and testing complex prompt chains
  • Evaluating the performance of different LLMs
  • Deploying and monitoring LLM applications at scale

💡 Check With Vendor

Verify these considerations match your specific requirements:

  • Simple, no-code workflow automation between existing applications
  • Users without any technical or development background

🏆 Alternatives

LangChain LlamaIndex HoneyHive

Vellum offers a more integrated and user-friendly experience for the entire LLM development lifecycle compared to open-source frameworks like LangChain.

💻 Platforms

Web API

🔌 Integrations

OpenAI Anthropic Google Vertex AI and other LLM providers

🛟 Support Options

  • ✓ Email Support
  • ✓ Live Chat
  • ✓ Dedicated Support (Enterprise tier)

🔒 Compliance & Security

✓ SOC 2 ✓ GDPR ✓ SSO ✓ SOC 2 Type II

💰 Pricing

$100.00/mo
Free Tier Available

Free tier: Free for individuals and small projects.

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