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Announcing SingleStore Indexed ANN Vector Search

Blog post from SingleStore

Post Details
Company
Date Published
Author
Eric Hanson, Rohit Bhamidipati, Cheng Chen, Nadeem Asghar
Word Count
3,640
Company Posts That Month
19
Language
English
Hacker News Points
-
Post removed?
No
Summary

SingleStore has shipped a public preview of indexed approximate-nearest-neighbor (ANN) search and support for a native vector data type, making it a modern SQL database with vector search capabilities. This allows developers to build transactional, analytical, full-text, and vector search applications on one platform, saving implementation time, data transfer time, code, and money compared to using specialized vector databases. The new features include indexed ANN search, which provides orders-of-magnitude faster vector search, and a native vector data type, making it easier for developers to build vector-based applications. With the addition of these features, SingleStore is now a leader in the market for modern SQL databases with built-in vector search capabilities.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Vector Search 21 1,728 228 84 +63%
RAG 12 1,418 170 60 +93%
LLM 1 2,790 311 123 +34%
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