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Supercharging Semantic Search with Pinecone and Cohere

Pinecone via YouTube

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This short demonstration teaches how to build semantic search applications by generating sentence embeddings with Cohere, indexing them in Pinecone, and identifying similar or duplicate questions. It also shows applications such as product and document search.

Syllabus

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

Taught by

Pinecone

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