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Databricks Mosaic AI

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Databricks' unified platform for building and deploying enterprise AI agents and models

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  • Deployment Cloud Based
  • Starting price Custom
  • Free trial Available
  • Best for SMEs, Agencies, Enterprises

What is Databricks Mosaic AI?

Databricks Mosaic AI is a suite of tools within the Databricks platform for building, training, evaluating, and deploying generative AI and machine learning applications. It includes the Agent Framework for RAG and agentic applications, Vector Search integrated with Delta Lake, Model Serving for hosting agents and models, and Foundation Model Training for fine-tuning or pretraining custom LLMs.

Mosaic AI is billed through Databricks' consumption-based pricing, measured in Databricks Units and billed per second with no upfront cost, plus discounts for committed usage. A free trial and a free edition for learning are available, but exact per-unit rates depend on cloud provider, region, and compute type rather than being listed as flat prices. Unity Catalog provides governance across the platform.

Key Features of Databricks Mosaic AI

Databricks Mosaic AI lists 9 documented features, including Mosaic AI Agent Framework for building and evaluating RAG and agentic applications, Mosaic AI Vector Search integrated with Delta Lake for embedding-based retrieval and Model Serving for deploying agents, GenAI, and classical ML models. The list below covers what the product does rather than how it is marketed.

  • Mosaic AI Agent Framework for building and evaluating RAG and agentic applications
  • Mosaic AI Vector Search integrated with Delta Lake for embedding-based retrieval
  • Model Serving for deploying agents, GenAI, and classical ML models
  • Managed MLflow for full ML lifecycle tracking and MLOps
  • Foundation Model Training for fine-tuning or pretraining custom LLMs
  • Agent Bricks for building and evaluating custom agents with AI-assisted evaluation
  • AI Gateway for governance, rate limiting, and monitoring of model traffic
  • Unity Catalog integration for governance and lineage
  • Open framework support for LangGraph, LlamaIndex, and OpenAI Agents SDK

Databricks Mosaic AI Pricing

Databricks Mosaic AI lists 3 plans. One is free; the rest are quoted on request.

Pay-as-you-go (DBU consumption)

Custom

Per-second billing, no upfront cost

Databricks Unit consumption across Standard, Premium, and Enterprise tiers; exact per-unit rates vary by cloud, region, and compute type

Committed Use Contracts

Custom

Multi-cloud usage commitments

Discounted rates for customers committing to usage levels

Free Edition / Trial

Free

Learning and evaluation use

Free trial of the platform and a free edition for learning

Databricks Mosaic AI Specifications

Databricks Mosaic AI is available on web app. It offers an API, has a free trial and has a free plan.

Deployment
  • Cloud Based
Billing cycle
Monthly
Desktop
  • Web App
Languages
  • English
Built for
  • SMEs
  • Agencies
  • Enterprises
Support
  • Email
  • Phone
  • Tickets
  • Training
Integrations
Delta Lake, Unity Catalog, LangGraph, LlamaIndex, OpenAI Agents SDK, MLflow, AWS, Azure, and Google Cloud
Public API
Yes
Free trial
Yes
Free plan
Yes
Runs in browser
Yes
Customisable
Yes
Website
databricks.com

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Databricks Mosaic AI FAQs

Mosaic AI is Databricks' suite of tools for building, evaluating, training, and deploying generative AI and machine learning models and agents, integrated with Delta Lake and Unity Catalog.

Databricks bills consumption-based Databricks Units per second with no upfront cost; exact per-unit rates depend on cloud provider, region, and compute type rather than a published flat rate.

Yes, Foundation Model Training supports fine-tuning open-source LLMs, pretraining custom LLMs, and building classical ML models.

It is a Databricks-native vector database that indexes documents, tables, or unstructured content into embeddings and serves real-time retrieval for RAG applications.

Yes, Mosaic AI is designed to be open, supporting frameworks such as LangGraph, LlamaIndex, and the OpenAI Agents SDK alongside its native tooling.