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

MongoDB Atlas、最も利用されているベクトルデータベースとして 2 年連続

What's this blog post about?

MongoDB Atlas has been recognized as the most used vector database for two consecutive years in Retool's "The State of AI" report. The platform also received the highest NPS (Net Promoter Score) customer satisfaction rating. The report provides valuable insights into the current state and future of AI, including topics such as vector databases, search expansion generation (RAG), AI adoption, and innovation challenges. MongoDB Atlas Vector Search enhances the performance of generated AI applications by allowing users to easily utilize data stored in MongoDB and improve learning and evaluation stages. The use of vector databases among Retool survey respondents has significantly increased from 20% in 2023 to 63.6% in 2024, with performance benchmarks, community feedback, and proof-of-concept experiments being the main evaluation criteria.

Company
MongoDB

Date published
June 21, 2024

Author(s)
Rachelle Palmer

Word count
168

Hacker News points
None found.

Language
日本語


By Matt Makai. 2021-2024.