Results for “neural-architecture-search”

Designs and implements production-grade RAG systems by chunking documents, generating embeddings, configuring vector stores, building hybrid search pipelines, applying reranking, and evaluating retrieval quality.

Augments nearest-neighbour search with graph Laplacian features to retrieve items based on both semantic similarity and structural role.