Rasa is an open-source conversational AI platform that enables developers and enterprises to build, deploy, and manage AI agents. It combines LLMs with structured business logic to create reliable and controllable AI assistants for various use cases like customer support and sales.

How much does Rasa cost?

Rasa offers a Free Developer Edition for individuals and teams starting AI assistant projects, limited to one bot and up to 1000 external conversations/month. For large-scale deployments and advanced features, an Enterprise plan is available, requiring direct contact with sales for pricing.

Rasa can build AI agents that manage layered conversations, retrieve real-time information with Enterprise RAG, understand natural language (NLU), and support multilingual and voice interactions. It also provides tools for agent orchestration, testing, and deployment across various channels.

Yes, Rasa develops and licenses software that is subject to Open Source licenses. The Rasa Open Source Software is distinct from its commercial offerings (Rasa Pro, Rasa Studio), but forms the core of the platform.

Does Rasa support team collaboration and enterprise features?

Yes, Rasa Studio provides a no-code UI for business users to build, analyze, and optimize AI assistants, including features like Single-Sign-On (SSO) and Role-based Access Control (RBAC) for team collaboration and enterprise-grade security.

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Quick Answer

Rasa is an open-source conversational AI platform that helps developers and enterprises build reliable, high-trust AI agents. It extends LLMs with structured logic for predictable behavior, offering features like Enterprise RAG, NLU, and voice integration. Best for technical teams and enterprises needing full control over their AI assistants for customer support, sales, and operations. A free Developer Edition is available for local use and small-scale production.

About Rasa

Rasa is an open-source conversational AI platform for developers and enterprises to build, deploy, and manage AI agents. It extends LLMs with structured flows and deterministic logic, enabling reliable automation for customer support, sales, and operational efficiency. Rasa offers full control over agent behavior and performance, with options for self-managed or managed deployments. A free Developer Edition is available for starting projects.

What Makes It Unique

Rasa's CALM (Conversational AI with Language Models) architecture separates business logic from LLMs, ensuring predictable agent behavior and making agents easier to version, test, and debug. It allows users to run their own LLMs and fine-tune them, providing complete control over logic and performance.

AI-extracted from public sources. May contain errors. Methodology · Are you Rasa? Claim listing

Use Cases & Target Users

Use Cases

Best For

Building high-trust AI agents for customer support

Automating sales enablement processes

Fit Score

Complexity

Intermediate

Target Team Size

SMALL_TEAM

LARGE_TEAM

Target Skill Level

INTERMEDIATE

EXPERT

Key Features

CALM (Conversational AI with Language Models) dialogue management

Enterprise RAG for real-time, verifiable information retrieval

Natural Language Understanding (NLU) with intent and entity control

Real-time voice infrastructure and Voice Gateway

Multilingual AI agent capabilities

Agent orchestration and tool connection via MCP

Technical Specifications

API Available

SDK Available

MCP Compatible

Open Source

Apache-2.0

Team Features

Compliance, Privacy & Trust

GDPR (as claimed): Yes

SOC 2 (as claimed): No

HIPAA (as claimed): Yes

Trains on user data: No

Pros

+Provides full control over AI agent behavior and performance
+Supports deployment on-premise or in private cloud for data sovereignty
+Offers a flexible development experience for technical and business teams
+Enables faster responses and cost-efficient operations compared to LLM-first frameworks
+Includes enterprise-grade security features like PII data management and secrets management
+Open-source core allows for extensive customization and community support

Limitations

-Requires technical expertise for advanced customization and deployment
-Enterprise features and premium support require a paid subscription
-No explicit mention of a visual drag-and-drop interface for non-technical users in the core platform
-Limited to conversational AI use cases, not a general-purpose AI platform
-No explicit mention of specific LLM models included, users bring their own