Vellum AI
4.17
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Vellum AI builds LLM applications with prompt engineering, testing, monitoring, and no-code workflows for enhanced collaboration.
What is Vellum AI?
Vellum AI is a development platform designed for building Large Language Model (LLM) applications. It provides tools for prompt engineering, semantic search, version control, testing, monitoring, and collaboration. Users can compare, test, and collaborate on prompts and models, and incorporate proprietary data to enhance accuracy. Vellum AI supports efficient deployment, versioning, and monitoring of LLM changes, offers a no-code LLM builder, workflow automation, and various AI functionalities like chatbots, sentiment analysis, and more. Customers appreciate its ease of use, fast deployment, monitoring capabilities, and collaborative workflows.
Who created Vellum AI?
Vellum was created by Daniel Weiner, who is the Founder at Autobound. The platform was launched on November 29, 2023, offering a development platform specifically designed for building Large Language Model (LLM) applications. Vellum provides tools for prompt engineering, semantic search, version control, testing, monitoring, and collaboration. It is compatible with all major LLM providers, enabling users to bring LLM-powered features to production through prompt engineering tools.
What is Vellum AI used for?
- Chatbots
- Summarization
- Workflow automation
- Sentiment Analysis
- Data extraction
- Document analysis
- Topic summarizer
- Vector search
- Dialogue generation
- Blog generator
- Email generator
- Prompt engineering on steroids
- Compose Complex Multi-Step Chains
- Evaluate Prompts at Scale
- Copilots
- Fine-tuning
- Q&A over Docs
- Intent classification
- Out-of-Box RAG
- Deploy Changes With Confidence
Who is Vellum AI for?
- Engineers
- Artificial Intelligence Developers
- Data scientists
- Product teams
- Engineer
- Data Scientist
- AI application developer
- 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?
To use Vellum, follow these steps:
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Prompt Engineering: Experiment with new prompts and models without affecting production. Evaluate prompts using quantitative metrics or define your own.
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Compose Complex Chains: Prototype, test, and deploy complex chains of prompts and logic with versioning, debugging, and monitoring tools.
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Out-of-Box RAG: Quickly start with RAG (Retrieve And Generate) functionality without backend infrastructure overhead.
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Deployment: Manage prompt and prompt chain changes with release management similar to GitHub. Monitor performance and catch edge cases in production.
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Testing & Evaluation: Utilize test suites to evaluate LLM outputs at scale and ensure quality.
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No-Code LLM Builder: Build various LLM-powered applications without coding skills.
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Additional Features: Workflow automation, document analysis, copilots, Q&A over docs, intent classification, summarization, sentiment analysis, chatbots, and more.
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Customer Feedback: Users praise Vellum for ease of use, fast deployment, detailed monitoring, and prompt testing capabilities.
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Flexibility: Choose the best LLM provider and model for specific tasks without vendor lock-in.
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Collaboration: Facilitate collaborative workflows to streamline development, deployment, and monitoring processes.
Vellum provides a comprehensive platform for building LLM applications, offering tools for experimentation, evaluation, deployment, and monitoring. With a wide range of features and flexibility in LLM utilization, Vellum is a valuable tool for development teams aiming to leverage AI capabilities effectively .
Pros
- Provides peace of mind for debugging production LLM traffic
- Flexible to choose the best LLM provider and model for specific tasks
- Customers appreciate ease of use, fast deployment, and detailed monitoring
- Features workflow automation and various AI functionalities like chatbots and sentiment analysis
- Offers no-code LLM builder for building applications without coding skills
- Provides testing capabilities at scale to ensure quality of outputs
- Supports incorporating proprietary data for enhanced accuracy
- Enables efficient deployment, versioning, and monitoring of LLM changes
- Vellum has completely transformed the company's LLM development process with a 5x improvement in productivity
- Clean UI for observing abnormalities and making changes without breaking existing behavior
- Comprehensive solution for development teams seeking to leverage LLM capabilities
- Allows multiple disciplines within a company to collaborate on AI workflows
- Variety of functionalities for AI applications
- Comprehensive solution for development teams leveraging LLM capabilities
- Flexibility to choose the best LLM provider and model
Cons
- No cons were identified in the provided content.
- No information provided on potential cons of using Vellum in the documents.
- No information on cons is available in the provided documents.
Vellum AI FAQs
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What is Vellum?
- Vellum is a development platform specifically designed for building Large Language Model (LLM) applications
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What features does Vellum offer?
- Vellum offers prompt engineering, semantic search, version control, testing, monitoring, workflow automation, document analysis, copilots, fine-tuning, Q&A over documents, intent classification, summarization, vector search, sentiment analysis, chatbots, and LLM evaluation functionalities
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How does Vellum support developers in deploying Large Language Models?
- Vellum supports efficient deployment, versioning, and monitoring of LLM changes in production, providing a streamlined workflow for complex LLM chains
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What are some notable features of Vellum?
- Some notable features of Vellum include its no-code LLM builder, workflow automation, collaborative workflows, detailed production monitoring, and fast deployment capabilities
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How does Vellum enable comparison and collaboration on prompts and models?
- Vellum enables users to compare, test, and collaborate on prompts and models, incorporating proprietary data as context in LLM calls to enhance accuracy of results
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What customer benefits does Vellum offer?
- Vellum provides customers with ease of use, fast deployment, detailed production monitoring, prompt testing capabilities, and collaborative workflows, allowing for the building of LLM-powered applications without extensive coding skills
Get started with Vellum AI
Vellum AI reviews
Marcus Henderson
November 27, 2024
What do you like most about using Vellum AI?
I appreciate the no-code workflow feature, which allows my team to build LLM applications without needing extensive coding knowledge. This has significantly reduced our development time.
What do you dislike most about using Vellum AI?
The monitoring tools can sometimes be a bit clunky, and there are instances where it doesn't provide real-time feedback as expected, which can be frustrating.
What problems does Vellum AI help you solve, and how does this benefit you?
Vellum AI helps streamline our prompt engineering process, making it easier to manage and test different models. This has led to improved accuracy in our applications, ultimately boosting user satisfaction.
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Aisha Khan
January 2, 2025
What do you like most about using Vellum AI?
The collaborative features are fantastic! My team can easily share prompts and test them simultaneously, which enhances our workflow and creativity.
What do you dislike most about using Vellum AI?
I wish there were more templates available for common use cases. Sometimes starting from scratch can be daunting.
What problems does Vellum AI help you solve, and how does this benefit you?
It helps us manage multiple versions of our models effectively, which is crucial when iterating for better performance. This has led to more reliable outputs in our projects.
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Oliver Brown
January 4, 2025
What do you like most about using Vellum AI?
The prompt testing feature is exceptional! It allows us to compare different prompts side by side and see which one performs better. This data-driven approach has improved our results.
What do you dislike most about using Vellum AI?
Sometimes the interface can feel overwhelming at first, especially for new users, but it gets easier with time.
What problems does Vellum AI help you solve, and how does this benefit you?
It provides us with a robust platform for semantic search, which has greatly enhanced our data retrieval processes. This efficiency has translated into time savings for our team.
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