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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Rasa

    Score6 out of 10
    Enterprise companies (1,001+ employees)
    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…

    $0

    Yellow.ai

    Score8.3 out of 10
    N/Ayellow.ai (formerly Yellow Messenger) is a customer experience automation platform enabling enterprises to leverage its NLP engine to build chat and voice bots. Combining AI and human intelligence to automate customer and employee experience, the company aims to democratize AI through its no-code/low-code bot builders, omnichannel virtual assistants, and ticketing automation suite.N/A
    Pricing
    RasaYellow.ai
    Editions & Modules
    Developer Edition
    $0
    Growth
    starting at $35k
    Enterprise
    Contact Sales
    No answers on this topic
    Offerings
    Pricing Offerings
    RasaYellow.ai
    Free Trial
    YesYes
    Free/Freemium Version
    YesYes
    Premium Consulting/Integration Services
    YesNo
    Entry-level Setup FeeNo setup feeOptional
    Additional DetailsContact vendor for pricing information.
    More Pricing Information
    User Ratings
    RasaYellow.ai
    Likelihood to Recommend
    -
    (0 ratings)
    9.0
    (2 ratings)
    User Testimonials
    RasaYellow.ai
    Likelihood to Recommend
    Rasa Technologies Inc
    Rasa Pro is well suited for corporate use and for chatbots which require backend connections. Smaller chatbots with a few flows might be better served with a simple dialogue engine and custom AI agents, or Rasa Open Source. Rasa does not come with its own complex vector database, just in-memory FAISS and connectors to external vector DB's such as Milvus and Qdrant. It provides only a basic document parser and embedder for FAISS. If you need to build a RAG focused chatbot around a large knowledge base with complex documents, e.g. lots of MS Word or PDF files, you'll have to build a separate document parser and embedder, as well as your own semantic search engine
    Incentivized
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    Yellow.ai
    No answers on this topic
    Pros
    Rasa Technologies Inc
    • Rasa team has Top notch AI knowledge
    • Greate customer support, by listening towards the clients needs.
    • And building future proof solutions around client Business Requirements within dazzling timeframes
    Incentivized
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    Yellow.ai
    • Web integrated chat bot
    • WhatsApp bot
    • Good support from YM team
    • Transparent dashboard for analysis
    Incentivized
    Read full review
    Cons
    Rasa Technologies Inc
    No answers on this topic
    Yellow.ai
    • Shopping features in bot
    • pricing
    • app integration
    Incentivized
    Read full review
    Usability
    Rasa Technologies Inc
    No answers on this topic
    Yellow.ai
    No answers on this topic
    Support Rating
    Rasa Technologies Inc
    Rasa support has been very responsive, trying to fix any reported issues ASAP. They've also listened to many requests for improvement. The Rasa features and changelog are well documented
    Incentivized
    Read full review
    Yellow.ai
    No answers on this topic
    Alternatives Considered
    Rasa Technologies Inc
    No answers on this topic
    Yellow.ai
    No answers on this topic
    Return on Investment
    Rasa Technologies Inc
    • Cost Savings & Efficiency
    • Increased Conversion Rates
    • Improved Customer Satisfaction
    • Operational ROI
    Incentivized
    Read full review
    Yellow.ai
    No answers on this topic
    ScreenShots

    Rasa Screenshots

    Screenshot of the Studio interface, where a new Flow can be tried out. The user can trace the flow of conversation through the AI Assistant to test and debug new developments.Screenshot of the extensible generative conversational AI framework in a no-code user interface, which enables business users to drag and drop dialogue components for easier AI assistant development.Screenshot of central content management to curate the AI Assistant training data. Users can repurpose and reuse assistant data: search, add, edit, and update assistant data directly in Studio.Screenshot of where analysts, testers, and builders can review user conversations to optimize the AI assistant performance and improve the user experience. Filter and tag key conversations for review, and share within a team for increased collaboration and efficiency.Screenshot of the fully transparent conversational AI enables deep customization and explainability enabling a high-performance architecture.