/plushcap/analysis/mongodb/post-retool-state-of-ai-report-mongodb-vector-search-most-loved-vector-database-la

Atlas Vector Search vuelve a ser elegida la vector database más apreciada

What's this blog post about?

MongoDB Atlas Vector Search has been named the most beloved vector database for the second consecutive year in the 2024 Retool State of AI report. The platform received the highest Net Promoter Score (NPS), a measure of user likelihood to recommend a solution to their peers. The annual survey by Retool provides insights into the current and future state of AI, including vector databases, retrieval augmented generation (RAG), AI adoption, and challenges in innovating with AI. MongoDB Atlas Vector Search commanded the highest NPS score in the inaugural 2023 Retool report and was the second most used vector database within just five months of its launch. The survey also highlights the growing adoption of RAG as a preferred approach for generating more precise responses with updated and relevant context, where large language models (LLMs) are not trained. Atlas Vector Search enables users to easily leverage their stored data to significantly enhance the performance of their generative AI applications during both training and evaluation phases.

Company
MongoDB

Date published
June 21, 2024

Author(s)
Rachelle Palmer

Word count
784

Hacker News points
None found.

Language
español


By Matt Makai. 2021-2024.