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Building AI With MongoDB: Integrating Vector Search And Cohere to Build Frontier Enterprise Apps

Blog post from MongoDB

Post Details
Company
Date Published
Author
Mat Keep
Word Count
762
Company Posts That Month
24
Language
English
Hacker News Points
-
Post removed?
No
Summary

Cohere is a leading enterprise AI platform that builds large language models (LLMs) to help businesses leverage their data effectively. Its models offer the best performance-cost tradeoff, are cloud-agnostic, and can be deployed in production at scale. Cohere's Embed 3 and Rerank 3 models can be used with MongoDB Atlas Vector Search to create a state-of-the-art semantic search system. The new Embed Jobs endpoint allows entire data sets to be passed in one operation, improving developer experience. Pairing Cohere's capabilities with MongoDB Atlas provides a proven OLTP database for high read and write throughput, making it valuable for developers building sophisticated gen AI apps.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Vector Search 23 2,613 257 91 +44%
RAG 4 1,795 223 72 +55%
LLM 2 3,398 379 136 +44%
Real-time 2 2,334 631 194 -8%
Developer Experience 1 254 166 85 -22%
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