Pinecone

Retrieval mechanism based on calculating mathematical distances between high-dimensional vector embeddings of queries and documents.

A semantic search paradigm utilizing dense neural embeddings, where all vector dimensions contain continuous real numbers representing the latent meaning of text.

A unified retrieval approach that combines sparse lexical matching and dense vector search, typically merged via scoring algorithms like Reciprocal Rank Fusion (RRF).