Announcement of private beta for Cohere Compass, a new foundation embedding model
Addresses challenges with multi-aspect data retrieval by providing special format embeddings
Compass SDK helps convert data to JSON and store representations in vector databases
Enables handling queries over all embedded information, enhancing search accuracy
Partners sought for testing Compass model in private beta

Cohere specializes in creating AI-powered applications for enterprises, offering advanced capabilities in conversational interfaces and search functions through its large language models (LLMs). Their Retrieval Augmented Generation (RAG) toolkit enables accurate, data-informed responses for conversational apps, while their Embed model provides powerful semantic search capabilities across languages. Cohere also improves search result relevancy with their Rerank tool. They provide customizable models with cost-efficient runtime performance, flexible deployment options, and a firm commitment to privacy, ensuring customer data control. Furthermore, Cohere offers educational resources on LLMs through LLM University to help users better understand and utilize their technology.

Cohere

Cohere develops AI language models for enterprise productivity applications.

Cohere Compass Private Beta: A New Multi-Aspect Embedding Model

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