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A Discussion with VISO TRUST: Expanding Atlas Vector Search to Provide Better-Informed Risk Decisions

Blog post from MongoDB

Post Details
Company
Date Published
Author
Elliott Gluck
Word Count
1,707
Company Posts That Month
25
Language
English
Hacker News Points
-
Post removed?
No
Summary

A Discussion with VISO TRUST: Expanding Atlas Vector Search to Provide Better-Informed Risk Decisions` VISO TRUST is an AI-powered third-party cyber risk and trust platform that leverages MongoDB's Vector Search capabilities to provide fast and accurate intelligence for informed cybersecurity risk decisions. The company has adopted MongoDB's new dedicated Search Nodes architecture, scaled up dense and sparse embeddings and retrieval, and implemented a new technique for extracting information out of PDF and image files, resulting in improved accuracy and efficiency. With the adoption of Search Nodes, VISO TRUST can decouple its use cases, scale independently, and improve performance and memory requirements. The company's vector search system relies on three main collections separated by semantic units, extracts sentences from security compliance documents, and uses sparse and dense retrieval to filter results in milliseconds. MongoDB helps VISO TRUST execute on its goal of making informed risk assessments faster and more accurately, with the reliable data storage and querying capabilities provided by the platform.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Vector Search 17 1,692 211 78 +87%
LLM 4 2,593 281 107 +38%
RAG 4 1,360 163 55 +97%
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