RAG Summarizer
Leverage advanced Retrieval-Augmented Generation (RAG) systems for comprehensive file access and metadata interaction.
How do businesses use Casp AI?
Files Opening from Search References
Utilize RAG systems for scalable file access, ranging from low-performance basic retrieval to high-performance systems with semantic indexing. Tailor performance to data size and complexity for optimal results.
Files Metadata Access Through Search References
Access and organize metadata like creation date, file type, size, and authorship directly through search references. Streamline file management and enhance decision-making with metadata-level insights.
Augmented Regeneration Options
Enhance retrieved data with AI-powered responses using OpenAI ChatGPT, NVIDIA LLAMA 3.1, and Gemini Generation. Transform search results into actionable insights with context-rich, user-friendly interactions.
Agentic Query of Metadata
Perform advanced metadata queries for precise data handling. Execute quantity-wise queries, file opening queries, and pull file names based on search parameters to enhance workflows.
Customizable Metadata Management
Empower users to interact with metadata dynamically. Extract, organize, and analyze metadata efficiently for seamless integration into workflows and decision-making.