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DataRobot Generative AI
AI Development
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DataRobot Generative AI

Enterprise platform to build, govern, and scale generative AI and RAG applications with multi-model agility, built-in observability, and advanced security guardrails.

Rating
0
Reviews
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Upvotes
3 months ago
Listed
Generative AI
LLMOps
AI Governance
RAG
Enterprise AI
Machine Learning
Model Monitoring
AI Agents
Tool information
Provider
DataRobot
Platforms
Web
SaaS
AWS
Google Cloud
Microsoft Azure
Languages
English
Python
R
API Available
Yes
Added to directory
3 months ago
Last updated
about 2 months ago
Rating
Not available
Pricing
Contact

About DataRobot Generative AI

What the tool does and who it's for

DataRobot Generative AI is an enterprise-grade platform designed to accelerate the deployment of high-impact AI agents and RAG (Retrieval-Augmented Generation) applications. It provides a unified environment for building, benchmarking, and governing both generative and predictive AI workflows. The platform stands out by offering 'model agility,' allowing users to easily switch between various LLMs (like GPT-4, Claude, or Llama) and vector databases. It emphasizes end-to-end observability, providing tools to monitor LLM performance, manage token costs, and implement strict guardrails for security and compliance in regulated industries.

Key capabilities

Unified Playground: Compare and benchmark multiple LLMs, vector databases, and prompting strategies side-by-side.
RAG Excellence: End-to-end support for Retrieval-Augmented Generation pipelines with built-in chunking and embedding management.
Enterprise Guardrails: Automated moderation and security checks to prevent hallucinations and ensure data privacy.
Model Agility: Seamlessly switch between hosted LLMs or bring your own open-source models without rewriting code.
Deep Observability: Real-time monitoring of quality, latency, and token consumption for all deployed generative models.
Custom AI Apps: Low-code application templates to quickly turn models into business-facing tools for end users.
AI-Ready Data Pipelines: Automated preparation and orchestration of unstructured data for training and context retrieval.
Hybrid Cloud Deployment: Flexible hosting options including SaaS, dedicated managed cloud, or self-managed VPC.

Pricing

Contact — plans below

Enterprise AI Suite

Most popular

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  • Full Generative AI lifecycle management
  • Predictive and Generative AI integration
  • Unlimited experimentation in the Playground
  • Advanced governance and audit logs
  • Premium support and custom onboarding

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