Cohere Embeddings Cheat Sheet

Text embeddings and semantic search with Cohere. Vector generation, similarity, classification, and RAG.

Last Updated: December 24, 2025

API Setup

Install SDK, authentication

Key point 1
Detailed explanation for api setup
Key point 2
Detailed explanation for api setup
Key point 3
Detailed explanation for api setup
Key point 4
Detailed explanation for api setup

Generate Embeddings

embed-english-v3.0, embed-multilingual

Key point 1
Detailed explanation for generate embeddings
Key point 2
Detailed explanation for generate embeddings
Key point 3
Detailed explanation for generate embeddings
Key point 4
Detailed explanation for generate embeddings

Embedding Types

search_document, search_query, classification

Key point 1
Detailed explanation for embedding types
Key point 2
Detailed explanation for embedding types
Key point 3
Detailed explanation for embedding types
Key point 4
Detailed explanation for embedding types

Semantic Search

Build search, similarity ranking

Key point 1
Detailed explanation for semantic search
Key point 2
Detailed explanation for semantic search
Key point 3
Detailed explanation for semantic search
Key point 4
Detailed explanation for semantic search

Classification

Few-shot classification with embeddings

Key point 1
Detailed explanation for classification
Key point 2
Detailed explanation for classification
Key point 3
Detailed explanation for classification
Key point 4
Detailed explanation for classification

RAG Integration

Retrieval augmented generation

Key point 1
Detailed explanation for rag integration
Key point 2
Detailed explanation for rag integration
Key point 3
Detailed explanation for rag integration
Key point 4
Detailed explanation for rag integration
💡 Pro Tip: Master the fundamentals first before moving to advanced techniques. Practice regularly and refer to this cheatsheet for quick reference.
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