Founded

2013

Starting Price

~$0.55/DBU

About Databricks Mosaic AI

Databricks Mosaic AI is a comprehensive AI development platform that enables enterprises to build, train, deploy, and monitor production-grade generative AI applications and agents at scale. It provides unified tools for RAG systems, LLM fine-tuning, model serving, vector search, and AI governance—all integrated within the Databricks Data Intelligence Platform.

Pros & Cons

Pros

Unified platform integrating data lakehouse with AI development eliminates tool fragmentation
Enterprise-grade governance via Unity Catalog provides comprehensive lineage and access controls
Production-ready agent framework accelerates deployment of RAG systems and AI agents
Flexible model serving with pay-per-token and provisioned throughput options

Cons

Key Features

Agent Framework & RAG

Build production-quality AI agents with retrieval-augmented generation, quality evaluation, and seamless enterprise data integration

Model Serving

Deploy and serve foundation and custom models with pay-per-token or provisioned throughput options

Vector Search

Enterprise-grade vector database with hybrid search and Unity Catalog integration

AI Gateway

Centralized governance layer for managing LLM endpoints with observability, rate limiting, and multi-provider API access

Unity Catalog Governance

Unified governance for data and AI assets including lineage tracking, access controls, and audit logging

MLflow Integration

End-to-end MLOps with experiment tracking, model versioning, automated evaluation, and production monitoring

Pricing

Premium

~$0.55/DBU/DBU consumed

Foundation Model APIs
Pay-per-token model serving
AI Gateway
Vector Search
Unity Catalog governance

Best For

Enterprise AI Assistants

Build internal AI assistants that answer queries over corporate data with secure, governed access to knowledge bases

Financial Analysis & Intelligence

Automate analysis, process real-time market data, and extract insights from financial datasets

Anomaly Detection & Monitoring

Train ML models to predict failures, detect anomalies, and analyze operational data in real-time

Tags:mlops ai governance data lakehouse generative ai rag

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Databricks Mosaic AI