#vector-databases

#vector-databases

Most organizations will not train AI models in-house; they will focus on production inference, fine-tuning, data curation using RAG, vector databases, prompts, and co-pilots.

Specialty vector databases add user-friendly features while traditional providers add vector capabilities; companies prioritize flagship managed services and release vector search in public preview.

The next AI frontier prioritizes smarter search and retrieval-augmented generation, leveraging vector databases and high-performance infrastructure over bigger models.

Time-Series and Vector Databases solve specific modern data management challenges.