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Rasa

Rasa

by Rasa Technologies
Conversational AI
Advanced
Apache-2.0
Enterprise conversational AI platform with NLU
Visit WebsiteDocumentationGitHub
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Overview

Rasa is an open-source machine learning framework for building contextual AI assistants and chatbots. Enterprise features available.

Key Statistics

Overall Rating

3.6/5

GitHub Stars

18,600

Last Updated

2025-10

Version

3.6.20

Features

Conversational AI

Conversational AI capabilities

NLU

NLU capabilities

Dialogue management

Dialogue management capabilities

Enterprise deployment

Enterprise deployment capabilities

Getting Started

Installation
pip install rasa
Quick Start

Install Rasa and initialize project

Code Example
pip install rasa

Pros & Cons

Advantages

Strong NLU and dialogue management

Enterprise-grade with Rasa Pro

Open source core under Apache 2.0

Good for regulated industries

Self-hosting option for data privacy

Limitations

Steep learning curve

Requires ML expertise for customization

Enterprise features are expensive

Less suitable for quick prototyping

Smaller community than newer frameworks

Technical Details
Primary Language

Python

Supported Languages
Python
License

Apache-2.0

Enterprise Ready

Yes

Community Size

Large

Pricing
Open Source + Enterprise

Free open source. Rasa Pro: Enterprise features with custom pricing, contact sales

Performance Metrics

easeOfUse

3/5

scalability

4/5

documentation

4/5

community

4/5

performance

3/5

Common Use Cases

Enterprise customer support

Intent recognition and dialogue

Multi-turn conversations

Contextual chatbots

Regulated industry assistants

Ready to implement your own advanced use case?

Get started with Rasa today and build powerful AI applications.

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