Generate AI Answer

from moorcheh_sdk import MoorchehClient

with MoorchehClient() as client:
    response = client.answer.generate(
        namespace="my-faq-documents",
        query="What is your return policy?",
        top_k=2
    )
    
    print(f"AI Answer: {response['answer']}")
    print(f"Model Used: {response['model']}")
    print(f"Context Count: {response['contextCount']}")

from moorcheh_sdk import MoorchehClient

with MoorchehClient() as client:
    response = client.answer.generate(
        namespace="",  # Empty string for direct AI mode
        query="Explain quantum computing in simple terms",
        ai_model="anthropic.claude-sonnet-4-20250514-v1:0",
        temperature=0.7,
        chat_history=[
            {"role": "user", "content": "What is AI?"},
            {"role": "assistant", "content": "AI is artificial intelligence..."}
        ],
        header_prompt="You are a science teacher.",
        footer_prompt="Use simple language and examples."
    )
    
    print(f"Answer: {response['answer']}")

from moorcheh_sdk import MoorchehClient

with MoorchehClient() as client:
    chat_history = [
        {"role": "user", "content": "What are your business hours?"},
        {"role": "assistant", "content": "Our business hours are Monday to Friday, 9 AM to 5 PM EST."}
    ]
    
    response = client.answer.generate(
        namespace="customer-support",
        query="What about weekends?",
        chat_history=chat_history,
        temperature=0.5,
        ai_model="anthropic.claude-sonnet-4-5-20250929-v1:0"
    )
    
    print(f"AI Answer: {response['answer']}")
    print(f"Model Used: {response['model']}")
    print(f"Context Count: {response['contextCount']}")

from moorcheh_sdk import MoorchehClient
import time

with MoorchehClient() as client:
    namespace = "customer-support"
    
    # 1. Create namespace and upload support documents
    client.namespaces.create(namespace, type="text")
    
    support_docs = [
        {
            "id": "policy-1",
            "text": "Our return policy allows returns within 30 days of purchase with original receipt.",
            "category": "returns"
        },
        {
            "id": "policy-2",
            "text": "We offer free shipping on orders over $50. Standard shipping takes 3-5 business days.",
            "category": "shipping"
        },
        {
            "id": "hours-1",
            "text": "Our customer service is available Monday-Friday 9AM-5PM EST. We're closed on weekends.",
            "category": "hours"
        }
    ]
    
    client.documents.upload(namespace, support_docs)
    print("Documents uploaded, waiting for processing...")
    time.sleep(5)
    
    # 2. Get AI-generated answers
    print("\n=== AI ANSWERS ===")
    questions = [
        "What is your return policy?",
        "How long does shipping take?",
        "Are you open on weekends?"
    ]
    
    for question in questions:
        response = client.answer.generate(
            namespace=namespace,
            query=question,
            top_k=1
        )
        print(f"Q: {question}")
        print(f"A: {response['answer']}")
        print()

{
    'answer': 'Generated answer text...',
    'model': 'anthropic.claude-sonnet-4-5-20250929-v1:0',
    'contextCount': 3,  # Number of documents used as context
    'query': 'Original user query'
}