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Scaling Semantic Search Systems with Pinecone and Cohere

Blog post from Cohere

Post Details
Company
Date Published
Author
Multiple Authors
Word Count
1,367
Company Posts That Month
2
Language
English
Hacker News Points
-
Post removed?
No
Summary

The text introduces North, a new enterprise-ready AI platform by Cohere that enhances workplace productivity and offers a variety of AI solutions, including Compass for business insights and several advanced language models like Aya and Expanse. It emphasizes the challenges of scaling semantic search in Retrieval-Augmented Generation (RAG) workflows for enterprise use, noting the introduction of Pinecone's serverless vector database architecture as a solution to manage resources efficiently and reduce costs. The partnership between Cohere and Pinecone is highlighted, particularly the integration of Cohere's Embed Jobs for asynchronous embedding generation, making it easier to deploy and scale semantic search systems. The text describes a practical application of this technology in building chatbots and search systems and outlines the process of encoding large datasets through Cohere's Embed Jobs, which simplifies handling massive amounts of data by processing embeddings server-side and offering efficient download options.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Vector Search 18 1,728 228 84 +63%
Serverless 8 748 156 81 +34%
RAG 7 1,418 170 60 +93%
LLM 5 2,790 311 123 +34%
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