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Perceptive AI Chatbot Widget

The Perceptive AI Chatbot Widget is an intelligent, cross-platform assistant designed to enhance productivity and streamline user interactions. Powered by Retrieval-Augmented Generation (RAG) and integrated with Amazon Bedrock Knowledgebase, it delivers fast, accurate, and context-aware responses by leveraging ingested documents and dynamic or static web content.

With an intuitive live dashboard, users can monitor interactions, track analytics, and manage ingestion jobs for both PDFs and URLs. The chatbot seamlessly integrates into existing or new web applications, websites, and mobile/desktop platforms, offering a scalable and reliable solution for businesses seeking to unlock greater value from their data.

Features 

  • AI-Powered Conversations

    At the core is a conversational AI assistant that transforms static data into dynamic insights:

    • Intelligent Assistant – Analyzes both web content and uploaded documents to provide contextually relevant answers.
    • Conversational Interface – Natural, intuitive dialogue flow with confidence ratings of up to 95% accuracy.
    • Query Processing – Capable of handling complex comparative analysis and evidence-based research questions.
  • Knowledge Management

    Built to scale with multiple knowledge sources and maintain data integrity:

    • Knowledge Sources – Connects seamlessly to documents, websites, and other structured/unstructured data inputs.
    • Active Source Monitoring – Provides real-time visibility into the health and status of connected knowledge sources.
    • Web Scraping Capability – Automates ingestion from both static and dynamic websites, with configurable depth and scope.
    • Knowledge Base Sync – Ensures synchronization of ingested data with automated status updates and error handling for reliability.
  • Analytics & Insights

    Our integrated dashboard provides actionable intelligence into system and user performance:

    • Performance Dashboard – Consolidated overview of key system metrics and usage statistics.
    • Conversation Analytics – Tracks chatbot activity, including total conversations (65+) and processed queries (85+).
    • Feedback Management – Collects and analyzes user sentiment, categorizing positive and flow with confidence ratings of up to 95% accuracy.