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

Blog post from MongoDB

Post Details
Company
Date Published
Author
Rachelle Palmer
Word Count
784
Company Posts That Month
19
Language
español
Hacker News Points
-
Post removed?
No
Summary

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.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Vector Search 16 1,612 203 74 +36%
LLM 4 2,718 331 130 +3%
RAG 4 1,081 177 62 +40%
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