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Loading...Introduction to Vector Databases
Last quarter, our team discovered that our traditional relational databases were struggling to keep up with the demands of our AI-driven applications. We needed a solution that could efficiently store and query large amounts of vector data. That's when we started exploring vector databases. In this article, I'll share our experience benchmarking three popular vector databases: Weaviate 1.16, Pinecone 1.5, and Qdrant 0.12.
The Problem with Traditional Databases
Traditional relational databases are designed to store and query structured data, not vector data. When we tried to use our existing database infrastructure to store and query vector data, we encountered significant performance issues. Query times were slow, and memory usage was excessive. We realized that we needed a specialized database designed specifically for vector data.
What are Vector Databases?
Vector databases are designed to store and query vector data, which is a type of data that represents complex relationships between objects.
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