Supercharging Semantic Search with Pinecone and Cohere

Discover how to supercharge semantic search applications using Pinecone and Cohere in this 56-minute interactive demo. Learn to create sentence embeddings, index them in a vector database, and identify similar and duplicate questions. Explore practical applications for product search in online marketplaces and document search. Featuring insights from Cohere's Partner Engineer and Pinecone's Staff Developer Advocate, gain hands-on experience with embeddings, NLP developments, and vector databases. Access additional resources, including a comprehensive slide deck, to further enhance your understanding of semantic search techniques.

Introduction
What are embeddings
Sentence embeddings on Cohere
NLP is developing
Google Search
Screen Moment
Semantic Search with Vector Databases
Cohere Overview
Demo
Demonstration
Question
Conclusion