Vector Databases for RAG

Medium

llms Pinecone Databricks Google

Multiple Choice

Vector databases store text more compactly than relational databases Vector databases are optimized for approximate nearest-neighbor search on high-dimensional embeddings for semantic retrieval Vector databases can generate embeddings on their own without an external model Vector databases guarantee exact keyword matches, which relational databases cannot

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