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Vellum

Vellum: The ultimate platform for LLM app development with prompt engineering, semantic search, version control, testing, and monitoring. Compatible with top LLMs.

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What is Vellum?

Vellum is a robust development platform tailored for building applications powered by large language models (LLMs). It provides essential tools for prompt engineering, semantic search, version control, testing, and monitoring. Vellum is compatible with all leading LLM providers.

How to use Vellum?

With Vellum, developers have access to a full suite of tools for prompt engineering, semantic search, version control, testing, and monitoring. The platform enables the creation of LLM-powered applications and facilitates the deployment of these features into production. Vellum supports swift experimentation, thorough regression testing, and detailed observability & monitoring. Additionally, it allows the use of proprietary data within LLM calls, encourages prompt and model collaboration, and provides tools to manage and track LLM changes in production. Its user-friendly interface ensures a seamless experience.

Vellum's Core Features

Prompt Engineering

Semantic Search

Version Control

Testing

Monitoring

Vellum's Use Cases

Workflow Automation

Document Analysis

Copilots

Fine-tuning

Q&A over Docs

Intent Classification

Summarization

Vector Search

LLM Monitoring

Chatbots

Semantic Search

LLM Evaluation

Sentiment Analysis

Custom LLM Evaluation

AI Chatbots

chatbotssemantic searchWorkflow AutomationVersion Controlprompt engineeringSentiment analysistestingdocument analysisLLM appsvector searchmonitoringprototype

Product source: Vellum official website. Check the provider for current plans, limits and availability.

FAQ

Vellum questions and answers

Product context and practical checks for evaluating Vellum.

What is Vellum used for?

Vellum: The ultimate platform for LLM app development with prompt engineering, semantic search, version control, testing, and monitoring. Compatible with top LLMs.

How do I get started with Vellum?

With Vellum, developers have access to a full suite of tools for prompt engineering, semantic search, version control, testing, and monitoring. The platform enables the creation of LLM-powered applications and facilitates the deployment of these features into production. Vellum supports swift experimentation, thorough regression testing, and detailed observability & monitoring. Additionally, it allows the use of proprietary data within LLM calls, encourages prompt and model collaboration, and provides tools to manage and track LLM changes in production. Its user-friendly interface ensures a seamless experience.

Which capabilities are described for Vellum?

Prompt EngineeringSemantic SearchVersion ControlTestingMonitoring

What projects can I evaluate Vellum for?

Workflow AutomationDocument AnalysisCopilotsFine-tuningQ&A over DocsIntent ClassificationSummarizationVector SearchLLM MonitoringChatbotsSemantic SearchLLM EvaluationSentiment AnalysisCustom LLM EvaluationAI Chatbots Vellum Discord Join the Vellum community on Discord: https://discord.gg/6NqSBUxF78. For more details, click here(/discord/6nqsbuxf78). Vellum Support Email & Customer Service For customer support, contact Vellum at: [email protected]. More contact information is available on our contact page(https://www.vellum.ai/landing-pages/talk-to-sales). About Vellum Company name: Vellum AI Vellum on LinkedIn Follow us on LinkedIn: https://www.linkedin.com/company/vellumai/

What should I compare before choosing a Vellum plan?

Check Vellum’s current pricing page for included usage, renewal terms and any credit charges. Compare the cost of a usable result, including retries, rather than assuming that account registration includes free usage.

What inputs should I prepare for a Vellum trial?

Compare repository access, context limits, supported languages and tool permissions. Check whether the assistant can read relevant files and run your existing checks.

How can I check the quality of a Vellum result?

Review the diff, run tests and inspect error handling and dependency changes. Generated code should meet the same review standard as a human contribution.

Which export options should I check in Vellum?

Prefer changes you can inspect and keep in version control. Check whether code, tests and configuration can be exported without depending on a hosted preview.

What is a practical way to test Vellum against alternatives?

Choose a small reproducible bug with an existing failing check. Measure whether the tool fixes the cause, preserves behavior and produces a reviewable change.

Where is the official Vellum website?

The website linked from this profile is https://www.vellum.ai/sp/showcase. Use the provider’s own documentation, account area and support channels to confirm current product details.

Visit Vellum