Understanding the database differences behind effective AI approaches

Organizations face complex choices when selecting databases for their expanding data needs, especially as generative AI renews interest in vector databases alongside traditional relational and graph options.

This handbook highlights the complementary nature of different database types. Vector databases excel at similarity searches and unstructured data, ideal for AI applications, while each type serves distinct purposes:

· Vector databases specialize in similarity searches for AI
· Graph databases model complex relationships
· Relational databases manage structured data

Explore this handbook to see how these technologies can integrate into your data architecture.