Rasa
by Rasa Technologies
Enterprise conversational AI platform with NLU
See All Agentic FrameworksOverview
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
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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