Audience

Organizations that want to build contextual assistants that are powered by AI

About Rasa

Build contextual assistants that really help customers Rasa is the only serious choice for building mission-critical AI assistants. Machine learning powered by open source. Rasa Open Source is a machine learning framework to automate text- and voice-based assistants.

Pricing

Starting Price:
Free and open source
Pricing Details:
https://rasa.com/product/pricing/
Free Version:
Free Version available.

Integrations

API:
Yes, Rasa offers API access

Ratings/Reviews - 1 User Review

Overall 4.0 / 5
ease 4.0 / 5
features 5.0 / 5
design 5.0 / 5
support 4.0 / 5

Company Information

Rasa Technologies
Founded: 2016
Germany
rasa.com

Videos and Screen Captures

Rasa Screenshot 1
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Rasa Frequently Asked Questions

Q: What kinds of users and organization types does Rasa work with?
Q: What languages does Rasa support in their product?
Q: What other applications or services does Rasa integrate with?
Q: Does Rasa have an API?
Q: How much does Rasa cost?

Rasa Product Features

Chatbot

Prediction
Machine Learning
Natural Language Processing
Context and Coherence
Payment Integration
Call to Action
Inline Media / Videos
Social Media Integration
Sentiment Analysis
Reporting / Analytics
Human Takeover
Ready-made Templates

Conversational AI

For Developers
Intent Recognition
Multi-Languages
Code-free Development
Contextual Guidance
Omni-Channel
On-Screen Chats
Pre-configured Bot
Reusable Components
Sentiment Analysis
Speech Recognition
Speech Synthesis
Virtual Assistant

Rasa Reviews

Write a Review
  • Madan M.
    Project Manager
    Used the software for: 6-12 Months
    Frequency of Use: Daily
    User Role: Deployment
    Company Size: 100 - 499
    Design
    Ease
    Features
    Pricing
    Support
    Probability You Would Recommend?
    1 2 3 4 5 6 7 8 9 10

    "Rasa chatbot platform review"

    Posted 2021-01-22

    Pros: Open-source, free, privacy, great community, regular updates, easy to set up, a large number of examples and learning source available, multiple channels to get your issue resolved like git, community, youtube office hour.

    Cons: We have not tested the limits of it yet, so everything is great, the documentation certainly needs work, getting up and running is easy but fine-tuning and specific nuances take times to figure out.

    Overall: Great, it was easy to start, we were able to get all our use case covered by the features they provide so we could focus on the business problem rather than platform.

    Read More...