Vector Databases for RAG

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llms Pinecone Databricks Google

Why are vector databases used in RAG pipelines instead of traditional relational databases?

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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Vector Databases for RAG

Multiple Choice

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