Rasa开源框架，构建生产级聊天和语音助手

4.8 (5)

审阅者 Daniel Nikulshyn·更新 2026年5月

Open Source Conversational AI Enterprise Low-Code Voice AI Chatbots Self-Hosted NLU

概览

Rasa 是一个对话式 AI 平台，帮助开发者构建具备上下文感知的聊天和语音助手，并完全掌控数据、模型与部署。其开源核心负责自然语言理解与对话管理，而 Rasa Pro 则提供企业级功能，如分析、权限控制与可扩展基础设施。 Rasa Studio 提供一个低代码界面，供设计师和对话团队在不编写代码的情况下协作处理训练数据、流程和测试。通过这些工具，混合团队能够在消息渠道、IVR 系统和自定义应用中部署助手。它在银行、通信、医疗和政府等行业的企业中被广泛使用，因为这些企业需要本地部署、合规和定制化。

主要功能

自然语言理解引擎
自定义动作的对话管理
Rasa Studio 低代码接口
语音和多渠道集成
会话分析和测试工具
企业级安全和部署控制

价格

模型: Freemium
分类: AI Agent Development Frameworks
评分: 4.8 / 5 (5)

使用场景

基于数据隐私的银行虚拟助手

部署一款本机部署的上下文助手，为银行客户提供平衡询问、交易和支持等功能，同时将敏感数据收集在企业内部。

通信运营商 IVR 和多渠道支持机器人

构建一个声控和聊天助手，可以跨 IVR 系统和消息渠道，利用对话管理来解决客户问题。

医疗保健会话设计协作

让临床和会话设计团队使用 Rasa Studio 的低代码接口来设计流程和训练数据，而开发人员可以使用自定义动作来扩展逻辑。

政府公民服务助手

将一款自主部署的助手部署到公务员中，带有企业安全控制、分析和测试工具，可以解决公民问题。

优点 & 缺点

优点

支持在本机部署，确保数据隐私
高自定义程度的开源核心
代码优先和低代码工作流的组合
强大的复杂上下文对话支持

缺点

比无代码工具更具挑战性的学习曲线
高级功能需要付费的 Pro 许可证
自主部署需要 DevOps 工程师

评测

4.8

5 个评分的平均值。

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Diego Fernández

Apr 9, 2026

Does the job

Pretty happy overall. Voice and multi-channel integrations just works and combines code-first and low-code workflows. but no dealbreakers — I'd recommend it to a friend without hesitating.

Hannah Goldberg

Mar 18, 2026

Years in this space

I've evaluated a lot of these over the years. What stands out here is natural language understanding engine — handled better than most — and combines code-first and low-code workflows. Steeper learning curve than no-code builders is my one real gripe. Worth the time if this is your use case.

Priya Nair

Nov 25, 2025

Does the job

Pretty happy overall. Voice and multi-channel integrations just works and highly customizable open-source core. Self-hosting demands DevOps expertise can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Marcus Bell

Oct 1, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: rasa Studio low-code interface and on-premise deployment for data privacy. On balance the feature set — especially conversation analytics and testing tools — justifies the 5 stars for our use case.

Tariq Aziz

Aug 14, 2025

Does the job

Pretty happy overall. Natural language understanding engine just works and combines code-first and low-code workflows. Self-hosting demands DevOps expertise can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

问答

How steep is the learning curve and what skills are needed to deploy Rasa?

Rasa has a steeper learning curve than no-code builders, and self-hosting demands DevOps expertise. Teams typically need developers comfortable with code-first workflows, though Rasa Studio helps non-technical contributors participate in training and flow design.

Can non-developers contribute to building assistants in Rasa?

Yes. Rasa Studio offers a low-code interface where designers and conversation teams can collaborate on training data, flows, and testing without writing code, making it suitable for hybrid teams alongside developers using the code-first framework.

What's the difference between Rasa's open-source version and Rasa Pro?

The open-source core provides natural language understanding and dialogue management with custom actions. Rasa Pro is a paid enterprise license that adds analytics, security controls, and scalable infrastructure for production deployments.