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May 2, 2026 - 98:00
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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...
177: Vector Databases is an episode from Programming Throwdown by Patrick Wheeler and Jason Gauci. Patrick and Jason explain vector databases by starting with embeddings, similarity metrics, and approximate nearest-neighbor search. They dis...
This episode belongs to Programming Throwdown.
Use the player on this page to stream the episode online.
Published Nov 4, 2024, 88:26 long, audio available.
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.
You can listen to 177: Vector Databases online on Radio and Podcast. Open the player on this page to stream the available audio.
177: Vector Databases is an episode from Programming Throwdown by Patrick Wheeler and Jason Gauci.
This episode is 88:26 long.
This episode was published on Nov 4, 2024.
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Yes. This page shows related episodes from Programming Throwdown when more episodes are available from the podcast feed.
You can listen to 177: Vector Databases on this page when the episode audio is available from the podcast feed.
177: Vector Databases is from Programming Throwdown by Patrick Wheeler and Jason Gauci.
Published Nov 4, 2024 and 88:26 long