Cohere vs. OpenAI Embeddings - Multilingual Search

Cohere vs. OpenAI Embeddings - Multilingual Search

Explore a multilingual semantic search example using Cohere's new multilingual model and compare its performance against OpenAI's GPT 3.5 text-embedding-ada-002 model. Learn about the cost differences, implementation process, and performance metrics of both models. Dive into data preparation, embedding techniques, and vector indexing with Pinecone. Discover how to make multilingual queries and gain insights on the strengths and weaknesses of Cohere and OpenAI embeddings for multilingual search applications.