Rasa 2026: Benefits, Features & Pricing

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Overview
Pricing and Plans
Features
User Reviews

Overview

Rasa

4.7

(6)

Pricing

Pricing available upon request

About Rasa

Rasa is the leading conversational AI platform, which allows individual developers across large enterprises to create superior AI assistants and chatbots. Rasa provides the tools and infrastructure necessary for building the very best tools that meaningfully transform how customers communicate and interact with businesses. With Rasa, all teams can create automated, personalized interactions with customers, at scale.

Rasa Screenshots

Rasa Pricing and Plans

Starting price: Connect with an advisor for pricing

Free Trial

Free Version

Basic

Pricing available upon request

No plan information available

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Rasa Features

Popular features found in Live Chat
Autoresponders
Canned Responses
Chat/Messaging
File Sharing
Mobile Access
Multi-Channel Communication
Real-Time Notifications
Support Ticket Management
Third-Party Integrations
Transcripts/Chat History
Transfers/Routing
More features of Rasa
AI/Machine Learning
Chatbot
Contextual Guidance
For Developers
Generative AI
Intent Recognition
Natural Language Processing
Pre-Configured Bot
Reporting/Analytics

Rasa User Reviews

Overall Rating

4.7

Ratings Breakdown

67%

33%

Secondary Ratings

Ease of Use

4.5

Value for money

4.6

Customer support

4.0

Functionality

4.7

Have you used Rasa and would like to share your experience with others?

shushant p.

Verified reviewer

Computer Software

201-500 employees

Used daily for more than 2 years

Review source

Reviewed February 2021

Why Rasa

I have been using Rasa stack for chatbot development for the past three years. I have developed multiple chatbot systems using Rasa.

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

Rasa is probably the best python framework for building NLP based chatbot system. The machine learning models that has been used for intent classification, entity recognition and NLG models are highly accurate. The data format is very easy to interpret from Rasa.

Cons:

There are no any features that I do not like about Rasa.

Reasons for choosing Rasa

We can build custom chatbot systems and try out different ML models with Rasa stack

Beebek A.

Verified reviewer

Computer Software

11-50 employees

Used daily for more than 2 years

Review source

Reviewed February 2021

Rasa Review

Very good experience using rasa

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

Rasa is a great tool for building AI powered chatbots. It's intent classification models are very accurate and named entity recognition models are also highly accurate.

Cons:

Integrating rasa chatbots with other comunication channels documentation should be improved

Reasons for choosing Rasa

We can tweak with different machine learning models with rasa

Verified

Reviewer

Information Technology and Services

11-50 employees

Used daily for less than 6 months

Review source

Reviewed December 2022

Best Tool For Chat Bots

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

Easy to develop the chat bots for clients and personal use. Can trigger Robocorp bots from the chat bots. This is open-source platform, which makes it more popular in building chat bots.

Cons:

For now, there is nothing that makes me dislike this tool.

Fernando Matías C.

Verified reviewer

Computer Software

51-200 employees

Used weekly for more than 2 years

Review source

Reviewed October 2022

Tecnología ideal para la creación de chatbot

Es una herramienta muy potente y cuenta con gran cantidad de características que igualan a las soluciones de la competencia. Lo más importante de todo es que no cuenta con limitación de ningún tipo para contruir soluciones de asistentes viruales, para comercializar. Tampoco cuenta con tantas complicaciones para implementar en servidores con distintos sistemas operativos.

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

Tecnología de código abierto y gratuito. Dispone de documentación en constante actualización y crecimiento. Cuenta con gran cantidad de material para aprender a utilizar la herramienta. El foro oficial cuenta con un gran número de miembros que participan de manera activa.

Cons:

No cuenta con soporte oficial con el idioma español, pero se lo puede implementar con pocos pasos haciendo uso de librerías externas, como spaCy.

Reasons for choosing Rasa

La principal causa por la que utilizamos esta tecnología fue que era de código abierto y que era de uso gratuito.

Madhav P.

Verified reviewer

Banking

201-500 employees

Used daily for more than 2 years

Review source

Reviewed February 2021

Why Rasa

Very good experience using Rasa Stack

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

I had used Rasa to develop a chatbot system for our bank and i found it the most suitable tool for building chatbot systems. The way Rasa takes in input data for the chatbot and the training time for such chatbots being really low is awesome.

Cons:

I found debugging in Rasa difficult die to action server and rasa server running separetely on different servers.

Verified

Reviewer

Computer Software

1001-5000 employees

Used daily for less than 6 months

Review source

Reviewed February 2021

One of the best frameworks for building chatbots and virtual assistants

I recently used Rasa to build a chatbot integrated with a FAQ.

Ratings Breakdown

Ease of use

Functionality

Pros:

I believe it is an excellent python framework. It is very simple to build both the NLU model and to configure the pipeline to use extremely powerful models of preprocessing and classification of intentions and entities. I also found it very intuitive to declare everything in the domain and work with stories and rules. Other structures such as slots and forms are also very practical and make all the difference when building the bot.

Cons:

I liked all the features I found in RASA and they all helped in the development. I also thought the integration with some channels was easy.

Showing 1 - 6 of 6 Reviews