Custom RAG Search Engine
Enhance search capabilities with customizable Retrieval-Augmented Generation (RAG) models for precise and insightful results.
How do businesses use Casp AI?
Custom Retriever Selection
Optimize search accuracy by selecting specialized retrievers like BM25, Embedding Retrievers, Filter Retriever, TFIDF, Multimodel Retriever, and Dense Parser. Each option is designed to deliver context-aware and task-specific results.
Custom Reader Selection
Enhance answer accuracy with customizable readers such as OpenAI QA Model Plugin, Hugging Face QA models, and Sentence Similarity Scores. Ensure precise response extraction tailored to specific domains.
Advanced Augmented Regeneration
Empower search engines with response generation options like OpenAI ChatGPT, NVIDIA LLAMA 3.1, and Gemini Generation. Deliver user-friendly and insightful responses beyond simple retrieval.
Streamlined Search Optimization
Leverage RAG frameworks to integrate advanced retrieval, reading, and regeneration options. Achieve unparalleled search performance tailored to complex datasets and business needs.
Customizable Search Engine Solutions
Build search solutions that adapt to your data and tasks with flexible retrievers, readers, and regeneration options. Unlock the full potential of RAG models for any application.