Semantic search over PDF archives with embedding model and RAG model pairing
Leverage embedding models and Retrieval Augmented Generation (RAG) to efficiently index and query large PDF collections, enabling precise semantic search capabilities.
Leverage embedding models and Retrieval Augmented Generation (RAG) to efficiently index and query large PDF collections, enabling precise semantic search capabilities.
RAG: Simple to Vector Database Methods.