Aug 7 (edited) in Resources
Choosing the right AI database
“Don’t bring a knife to a gunfight—choose the right AI database!
Vector databases are ideal for AI/ML applications, but not all AI databases are vector-based.
Examples include Neo4j (graph database), MongoDB (document database), Apache Cassandra (distributed database), and Amazon SageMaker (cloud-based database).
Key features that make AI databases suitable for AI applications include integration with AI/ML frameworks, support for unstructured data, and features like explainable AI and transparency.
Vector databases are designed for storing and querying vector data, perfect for tasks like image and video search, recommendation systems, and NLP.
Some AI databases, such as Google Cloud Database and SingleStoreDB, also support vector data, bridging the gap between foundation models and enterprise GenAI apps for seamless integration.”
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Choosing the right AI database
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