Get answers from your documents and the web
Curiositi combines your documents with live web data to deliver context-aware answers using advanced AI and Retrieval-Augmented Generation.
Retrieval-Augmented Generation (RAG) improves AI responses by combining the power of large language models with specific information retrieval. When you ask a question, RAG first searches through your documents and the web to find relevant information, then uses this context to generate more accurate, up-to-date, and personalized answers.
Sources: Your Documents, Web Search (May 2025)
Powerful AI with context-aware intelligence
Curiositi combines the best of AI language models with your data and the latest information from the web.
Document Intelligence
Upload your documents, PDFs, spreadsheets, and presentations for instant insights and answers.
Live Web Data
Access real-time information from the web to complement your documents with the latest data.
Hybrid RAG System
Our advanced Retrieval-Augmented Generation system ensures precise, contextual answers every time.
Retrieval-Augmented Generation
See how Curiositi combines your documents with web data to deliver precise answers.
Document Processing
Upload your documents which are processed, indexed, and stored securely.
Query Understanding
When you ask a question, our AI understands the context and intent behind it.
Retrieval
The system retrieves relevant information from your documents and the web.
Generation
Using the retrieved context, our AI generates precise, tailored answers.
How people are using Curiositi
Discover how Curiositi is transforming how people work with information.
Research & Analysis
Use Curiositi to analyze documents and find connections across multiple sources, saving hours of manual work.
Knowledge Management
Use Curiositi to make their internal knowledge bases accessible and actionable for all employees.
Study & Research
Use Curiositi to research topics and generate content backed by accurate, up-to-date information based on their lectures, textbooks, and other documents.