177: Vector Databases
From Programming Throwdown by Patrick Wheeler and Jason Gauci
November 4, 2024 · 1h 28m · Episode 177
About this episode
Patrick and Jason explain vector databases, covering embeddings, similarity metrics, and how these systems manage high-dimensional vectors.
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.
People in this episode
Hosts: Patrick Wheeler, Jason Gauci
Topics covered
- vector databases
- embeddings
- similarity metrics
- approximate nearest-neighbor search
- high-dimensional vectors
- querying
- data storage
Keywords
- vector databases
- embeddings
- similarity metrics
- nearest-neighbor search
- pgvector
- Weaviate
- Pinecone
- Milvus
Mentioned in this episode
Products: pgvector, Weaviate, Pinecone, Milvus
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