177: Vector Databases
Programming Throwdown2024年11月5日1時間28分
177: Vector Databases
Programming Throwdown
0:001:28:26
このエピソードはアーカイブのため、日本語要約の対象外です。
番組の概要欄（原文）
Patrick and Jason explain vector databases by starting with embeddings, similarity metrics, and approximate nearest-neighbor search. They discuss how these systems store and query high-dimensional vectors and where tools like pgvector, Weaviate, Pinecone, and Milvus fit.