Vellum
Vellum AI is a development platform that brings LLM-powered features to production, offering tools for prompt engineering, semantic search, model versioning, and quantitative testing.
Vellum
Vellum AI is a development platform that brings LLM-powered features to production, offering tools for prompt engineering, semantic search, model versioning, and quantitative testing.
Vellum Product Information
What is Vellum?
Vellum AI provides a comprehensive platform for companies to take their Large Language Model (LLM) applications from prototype to production. With advanced tools such as prompt engineering, semantic search, model versioning, prompt chaining, and rigorous quantitative testing, it allows developers to confidently build and deploy AI-powered features. This platform aids in integrating models with agents, using RAG and APIs to ensure seamless deployment of AI applications.
Who will use Vellum?
- Developers
- Data Scientists
- AI Engineers
- Tech Startups
- Research Institutions
- Enterprises adopting AI
How to use the Vellum?
- Step1: Sign up and create an account on Vellum AI.
- Step2: Access the dashboard to start a new project.
- Step3: Use prompt engineering tools to design and test prompts.
- Step4: Implement semantic search features.
- Step5: Manage model versions and conduct quantitative testing.
- Step6: Deploy the models using provided APIs and RAG techniques.
- Step7: Monitor and evaluate the performance of deployed applications.
Platform
- web
Vellum's Core Features & Benefits
The Core Features of Vellum
- Prompt engineering
- Semantic search
- Model versioning
- Quantitative testing
- Prompt chaining
- Performance monitoring
The Benefits of Vellum
- Seamless model deployment
- Comprehensive testing tools
- Enhanced prompt design
- Efficient semantic search capabilities
- Effective version control
- Continuous performance monitoring
Vellum's Main Use Cases & Applications
- Building custom chatbots
- Developing AI-driven applications
- Enhancing customer support solutions
- Implementing semantic search in apps
- Prototype to production transition for LLM apps
FAQs of Vellum
Vellum Company Information
- Website: https://www.vellum.ai
- Company Name: Vellum AI
- Support Email: NA
- Facebook: NA
- X(Twitter): NA
- YouTube: NA
- Instagram: NA
- Tiktok: NA
- LinkedIn: https://www.linkedin.com/company/vellumai
Analytic of Vellum
Visit Over Time
Monthly Visits
181.8k
Avg Visit Duration
00:02:16
Page Per Visit
3.10
Bounce Rate
48.17%
May 2024 - Jul 2024 All Traffic
Geography
Top 5 Regions
United States
21.17%
Canada
13.69%
United Kingdom
4.92%
Korea, Republic of
4.12%
Sri Lanka
3.91%
May 2024 - Jul 2024 Worldwide Desktop Only
Traffic Sources Traffic Sources
Search
48.72%
Direct
39.18%
Referrals
7.56%
Social
4.08%
Paid Referrals
0.36%
Mail
0.09%
May 2024 - Jul 2024 Desktop Only
Top Keywords
| Keyword | Traffic | Cost Per Click |
|---|---|---|
| llm leaderboard | 31.4k | $ 0.97 |
| vellum | 60.6k | $ 0.64 |
| claude 3.5 sonnet vs gpt 4o | 930 | $ -- |
| vellum ai | 2.5k | $ 4.71 |
| claude 3.5 sonnet vs gpt4o | 640 | $ -- |
Vellum's Main Competitors and alternatives?
- OpenAI
- Anthropic
- Hugging Face
- Cohere
- AI21 Labs
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Vellum's Tags
Large Language Model
AI development platform
prompt engineering tools
semantic search solutions
model versioning
quantitative testing
AI application deployment
integration with agents
RAG technology
API integration
AI features
prototype to production
AI-powered solutions
developer confidence
seamless deployment
machine learning integration
advanced AI tools
data-driven AI
software development
AI consultancy
intelligent applications