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Users have found Rasa to be an invaluable tool for developing chatbots across various use cases. From creating website interfaces to …
Overview
What is Rasa?
Rasa is a conversational AI platform from the company of the same name headquartered in San Francisco, enabling enterprises to build customer experiences. Rasa’s platform was built to create enterprise-grade virtual assistants, allowing personalized conversations with customers - at scale.…
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What is Rasa?
Rasa is a conversational AI platform from the company of the same name headquartered in San Francisco, enabling enterprises to build customer experiences. Rasa’s platform was built to create enterprise-grade virtual assistants, allowing personalized conversations with customers - at scale. Rasa’s…
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Product Details
- About
- Tech Details
What is Rasa?
Rasa is a conversational AI platform from the company of the same name headquartered in San Francisco, enabling enterprises to build customer experiences. Rasa’s platform was built to create enterprise-grade virtual assistants, allowing personalized conversations with customers - at scale. Rasa’s conversational AI platform allows companies to build better customer experiences by lowering costs through automation, improving customer satisfaction, and providing a scalable way to gather customer intelligence. Rasa’s platform is powered by Rasa Open Source, which has seen more than 10 million downloads since launch, and is supported by a community learning from each other and working together to make better text- and voice-based AI assistants.
Rasa Video
Rasa is a platform for creating superior customer experiences
Rasa Technical Details
| Deployment Types | On-premise, Software as a Service (SaaS), Cloud, or Web-Based |
|---|---|
| Operating Systems | , |
| Mobile Application | No |
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Community Insights
TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!
- Business Problems Solved
- Pros
- Cons
Users have found Rasa to be an invaluable tool for developing chatbots across various use cases. From creating website interfaces to providing customer support, Rasa has proven to be a versatile solution that addresses a range of business problems. By leveraging Rasa's framework, developers have been able to build comprehensive chatbots that effectively handle repetitive queries, reducing the workload on call centers. This has resulted in improved efficiency and customer satisfaction levels, with some customers even reporting a 100% return on investment within just six months of implementing a chatbot developed with Rasa.
One particular AI company has found great value in using Rasa for their interview chatbot system. Rasa's framework offers the flexibility needed to design, prototype, and deploy chatbots tailored specifically to their unique requirements. This has allowed them to conduct interviews seamlessly and efficiently, streamlining their hiring process. Additionally, Rasa's end-to-end contextual chatbot development capabilities have empowered users in various industries to enhance customer engagement by designing and deploying chatbots that provide personalized experiences. The integration of Rasa with FAQ systems has further enhanced user interactions, resulting in improved customer satisfaction.
Rasa Stack has garnered positive feedback from users who have relied on it for chatbot development over the years. With its robust features and ease of use, users have successfully built multiple chatbot systems that address diverse business needs. Overall, Rasa has proven itself as a valuable solution for businesses seeking to leverage chatbot technology in order to improve customer service, streamline processes, and enhance overall efficiency.
Steady Improvement: Several users have noted that Rasa has steadily improved its underlying technology over time, positioning it as a strong competitor in the market.
Customization and Flexibility: Reviewers appreciate that Rasa is an open-source framework, allowing for greater customization to meet different use cases and business problems. This flexibility makes it a preferred choice among developers.
User-Friendly Interface: Users find Rasa's user interface intuitive and easy to navigate, enabling them to complete important tasks efficiently. The streamlined design enhances the overall user experience when developing chatbots.
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Complexity for non-specialists: Some users have found Rasa to be complex and less suitable for those who are not machine learning specialists, making it challenging for them to fully utilize the platform's capabilities.
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Lack of certain conversational AI features: Users have mentioned that Rasa lacks support for certain conversational AI features, which puts it at a disadvantage compared to other platforms in the market like Kore.
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Difficult user interface: Several users have expressed difficulties with the user interface of Rasa, finding it hard to use and suggesting improvements to enhance its user-friendliness.