Custom LLM Selections
Customize Large Language Model (LLM) capabilities for tailored retrieval, generation, and metadata analysis.
How do businesses use Casp AI?
Files Opening from Search References
Integrate seamlessly with various RAG performance tiers for file access. Choose from low performance for lightweight queries, medium performance for balanced speed and accuracy, or high performance for complex datasets with semantic indexing.
Files Metadata Access Through Search References
Retrieve and visualize file metadata, including type, creation date, size, and author details, through advanced search references. Enhance workflows with metadata-driven insights.
Augmented Regeneration Options
Enrich search results with generative AI capabilities. Use OpenAI ChatGPT for context-aware outputs, NVIDIA LLAMA 3.1 for precise domain-specific content, and Gemini Generation for specialized industry applications.
Agentic Query of Metadata
Perform advanced metadata queries for granular insights. Execute quantity-wise queries, arithmetic operations, file opening queries, and pull file names based on detailed criteria, streamlining metadata analytics.
Customizable LLM Capabilities
Adapt LLM functionalities to suit specific tasks and workflows. Combine retrieval, generation, and metadata-driven operations for a comprehensive, user-focused experience.