CloudCents LLM 🤖

This project integrates a custom Model, CloudCents LLM 🤖, optimized for cloud computing insights, including AWS, Azure, Google Cloud, and more. This includes a RAG (Retrieval-Augmented Generation) implementation from thousands of scraped cloud articles along with real-time pricing feeds. This Beta phase focuses on document relevance in the RAG and optimized data structures.

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Beta Features

  • Powered by a Custom Cloud-Specific LLM
  • Enhanced RAG implementation for accurate and relevant responses for cloud environments
  • Supports multi-cloud environments including AWS, Azure, Google Cloud, Linode, Digital Ocean

Swagger API Playground 🛠️

Swagger UI

API Key: Get your key Here

Python Code Example 🐍
import requests

API_URL = "https://cloudcents.ai/api/llm"
API_KEY = "your_api_key_here"

response = requests.post(
    API_URL,
    json={"query": "What is the best cloud service for hosting a database?"},
    headers={"Authorization": f"Bearer {API_KEY}"}
)

if response.status_code == 200:
    result = response.json()
    print("LLM Response:", result['answer'])
else:
    print(f"Error: {response.status_code} - {response.text}")