Retrieval
Build RAG workflows and turn unstructured data into intelligent, context-aware solutions for your AI systems.
Executive Summary
Vellum Retrieval is a specialized solution designed to seamlessly integrate Retrieval-Augmented Generation (RAG) into AI applications. It empowers developers and businesses to transform diverse unstructured data sources into intelligent, context-aware information, thereby significantly enhancing the accuracy and relevance of AI system outputs. The platform supports a spectrum of RAG implementations, from foundational setups to advanced retrieval optimization techniques. As a core component of the broader Vellum platform, Retrieval facilitates the creation of robust RAG workflows that ensure AI models have access to the most pertinent and up-to-date information. This capability is crucial for improving the quality of generated responses and powering sophisticated user-facing AI features. Vellum Retrieval works in conjunction with other Vellum products like Orchestration, Evaluations, and Deployments, offering a comprehensive toolkit for building, managing, and scaling advanced AI agents and applications.
Use Cases
- Building RAG workflows for AI applications
- Integrating search results to enhance AI queries
- Transforming unstructured data into context-aware information for LLMs
- Optimizing retrieval processes for improved AI model performance
- Powering user-facing features with contextual AI
Features
Visibility
- RAG Workflow Monitoring: Monitor the performance and events of retrieval-augmented generation workflows to ensure optimal operation and identify issues.
- Deployment Observability: Gain insights into the performance and behavior of deployed AI agents and RAG systems, ensuring optimal context delivery and system health.
Intelligence
- Advanced Retrieval Optimization: Implement and fine-tune advanced strategies to optimize the relevance, quality, and speed of retrieved information for AI models.
- Context-Aware AI Solutions: Build AI applications that leverage retrieved context for more accurate, relevant, and intelligent outputs, enhancing user experience.
Support
- First-Class Support: Access dedicated support for building and optimizing RAG workflows and integrating retrieval capabilities into AI applications.
Technical Specifications
- Architecture
- Cloud-native platform with an API-first design, supporting robust RAG workflows and AI agent deployments.
- Deployment
- SaaS
- Authentication
- SSO
- API Available
- Yes
AI/ML Stack
- Retrieval-Augmented Generation (RAG)
- LLMs
Integrations
- 35+ native integrations (platform-wide)
Security & Compliance
Certifications: SOC 2, ISO 27001, GDPR, HIPAA
Encryption: Data encryption at rest and in transit to protect sensitive information.
Pricing
- Model
- Tiered subscription (Free, Pro, Business, Enterprise)
- Starting Price
- Free tier available; contact sales for Pro, Business, and Enterprise pricing.
- Target Customer
- SMB,Mid-Market,Enterprise
- Free Trial
- Yes, Free tier available indefinitely for 1 user. (no credit card required)
About Vellum
Vellum is a large language model (LLM)-focused implementation and assistance platform provider. It offers a collaborative platform for building, evaluating, and deploying AI workflows and agents, enabling teams to create reliable, task-specific AI solutions.