Mosaic AI Agent Framework为 Databricks 提供一整套用来构建、部署和评估高质量 AI 代理和 RAG 应用的工具。

4.0 (4)

审阅者 Daniel Nikulshyn·更新 2026年6月

AI Agents RAG Enterprise Databricks LLMOps Evaluation Deployment Framework

概览

Databricks 代理框架 (AAF) 由 Databricks 提供，用于构建、部署和治理 AI 代理。这些代理可以通过单一受管协议 (模型上下文协议，MCP) 与任何工具、数据库或 SaaS 应用程序连接。框架包括在 Databricks 应用中无需管理基础设施的情况下，集成 AI 开发、实验和部署到服务器less 计算的功能。Agent Bricks 和 Unity Catalog 在治理和安全中至关重要，它们在模型、工具和连接上应用预定义的 정책，同时实施速率限制、失效、 fallbacks 和其他预防突发性数据注入、敏感数据检测和内容过滤所需的其他安全措施。

主要功能

Agent Bricks
Unity Catalog
Databricks Apps
Model Context Protocol (MCP)
集中化治理
用户级别控制

价格

模型: Contact for pricing
分类: 网统粗子打得粗琞机
评分: 4.0 / 5 (4)

使用场景

构建生产 RAG 应用

开发接入 LLM 的企业数据源的检索增强生成应用，提供准确的上下文响应。

大规模部署 AI 代理

在 Databricks 生态系统中创建和部署 AI 代理，利用集成工具实现可靠的生产部署。

评估代理质量

使用内置的评估工具评估 AI 代理和 RAG 管道的性能和质量，从而确保高标准。

迭代 LLM 工作流

在一个统一的框架中，流线化代理开发周期的工作流的原型、测试和反复试验生成性 AI 工作流。

优点 & 缺点

优点

集中化治理
用户级别控制
无服务器计算

缺点

有限的非 AI 整合
缺乏预建代理
文档缺失

对决战绩

在万神殿中参与了 1 对决。

第1

第2

第3

Last battle

#6
AI Agent Development Frameworks Showdown — July 19, 2024
Jul 19, 2024 · #6 of 7

评测

4.0

4 个评分的平均值。

登录以留下评测。

Nadia Petrova

Apr 3, 2026

Years in this space

I've evaluated a lot of these over the years. What stands out here is the integrations — handled better than most — and the value for money is strong. The mobile experience lags is my one real gripe. Worth the time if this is your use case.

Kwame Mensah

Dec 5, 2025

Solid for our team

We rolled this out across the team last quarter and it saves real time. The core workflow fits neatly into how we already work, and the integrations removed a step we used to do by hand. The mobile experience lags, which is the main caveat, but it has held up under daily use.

Mei-Ling Wong

Oct 16, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on the integrations, and it is genuinely easy to set up caught me off guard. Pricing gets steep at scale is why this isn't a perfect score, still, I'd recommend giving it a real trial.

Tomáš Novák

Jul 11, 2025

Solid for our team

We rolled this out across the team last quarter and the value for money is strong. The automation fits neatly into how we already work, and the API removed a step we used to do by hand. The mobile experience lags, which is the main caveat, but it has held up under daily use.

问答

Is it possible to switch between different large language models without re‑architecting my agents?

Yes. Agent Bricks lets you access models from OpenAI, Anthropic, Google, Meta, and open‑source providers through a single contract, and you can swap models instantly to optimize cost, quality, or performance without redesigning your stack.

Asked by Fernando Rojas · Feb 5, 2026

What deployment options are available and do I need to manage infrastructure?

Agents are deployed serverless via Databricks Apps, so you can push code from any IDE or no‑code builder directly to managed compute without provisioning or maintaining servers.

Asked by Carlos Mendoza · Jan 4, 2026

Can I integrate the framework with any SaaS or database, and what protocol is used?

Agents connect to any tool, database, or SaaS application through the Model Context Protocol (MCP), a single governed protocol that standardizes access while applying the platform’s security policies.

Asked by Vincenzo Greco · Dec 12, 2025

How does the Mosaic AI Agent Framework handle governance and security for model and tool access?

Governance is built into the platform via Agent Bricks and Unity Catalog, which apply predefined policies, enforce rate limits, and add safeguards like prompt‑injection prevention, sensitive data detection, and content filtering. All agents, models, and tool connections are tracked with ownership and permissions in a single system of record.

Asked by Sanjay Gupta · Dec 7, 2025