Cohere Embeddings

from praisonaiagents import embedding

result = embedding(
    input="Hello world",
    model="cohere/embed-english-v3.0"
)
print(f"Dimensions: {len(result.embeddings[0])}")

praisonai embed "Hello world" --model cohere/embed-english-v3.0

export COHERE_API_KEY="your-cohere-api-key"

from praisonaiagents import embedding

# For search queries
result = embedding(
    input="What is machine learning?",
    model="cohere/embed-english-v3.0",
    input_type="search_query"
)

# For documents to be searched
result = embedding(
    input="Machine learning is a subset of AI...",
    model="cohere/embed-english-v3.0",
    input_type="search_document"
)

from praisonaiagents import embedding

documents = [
    "First document content",
    "Second document content",
    "Third document content"
]
result = embedding(
    input=documents,
    model="cohere/embed-english-v3.0"
)
print(f"Generated {len(result.embeddings)} embeddings")

from praisonaiagents import embedding

texts = [
    "Hello world",           # English
    "Bonjour le monde",      # French
    "Hola mundo",            # Spanish
    "こんにちは世界"          # Japanese
]
result = embedding(
    input=texts,
    model="cohere/embed-multilingual-v3.0"
)