Dec. 22, 2023, 2:47 p.m. | Vince Lwt

DEV Community dev.to

In the era of AI-driven applications, the ability to efficiently handle and search through vector data is crucial.


Vector databases are designed specifically for this purpose, providing a robust infrastructure for applications such as retrieval-augmented generation (RAG) apps, recommendation systems, and advanced search engines.


Whether you're creating an app to "Chat with a PDF" or need to power a complex recommendation system, vector databases are the engines under the hood that make it all possible.


Today we're diving into 6 …

advanced ai ai app app applications apps data database databases github infrastructure opensource power rag recommendation recommendation systems retrieval retrieval-augmented search systems through vector vector databases

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US