<ul><li>Choosing the right vector database is crucial for powering AI applications with fast and intelligent retrieval of complex data.</li><li>There are different types of vector databases, each with their strengths and use cases:</li><li>1. Knowledge Graphs: Best suited for relationship-driven queries and graph-based AI applications like recommendation systems and fraud analysis.</li><li>2. High-Dimensional Vector Search: Ideal for searching unstructured data like text, images, audio, and video embeddings, such as AI-powered search engines and real-time recommendation systems.</li></ul>

The Future of AI Search: Choosing the Right Vector Database for Your Use Case

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