Harnessing cutting-edge AI, this innovative tool melds LLMs (Large Language Models) like ChatGPT and Claude with the Retrieval-Augmented Generation (RAG) technique to create an intelligent system that’s seamlessly adapted for comprehensive search functionality.
Named Perplexica and Quanta Quest, this integration capitalizes on diverse data spheres—public and personal, respectively.
Perplexica excels at managing all public information, presenting a tailored, AI-powered search capacity broad in scope.
Quanta Quest, in contrast, is designed to safely handle personal data queries.
Users can ask it highly personalized questions ranging from forthcoming appointments, insights from specific projects, to details about subscribed newsletters.
This differentiation ensures that while the Perplexica module can tackle broad, public data-infused queries, the Quanta Quest is the go-to for all inquiries directly related to the user’s private data.
This dual approach not only enhances user interaction but also ensures data security and privacy, making it a compelling choice for users eager to explore a more personalized, efficient, and secure digital experience.
