Get a Knowledge Structure

Overview

This is a description of one of the six use cases for the bagoodex/bagoodex-search-v1 model—retrieving a small structured knowledge base on the requested subject based on information from the internet.

An output example:

{
  'title': 'Nikola Tesla', 
  'type': 'Engineer and futurist', 
  'description': None, 
  'born': 'July 10, 1856, Smiljan, Croatia', 
  'died': 'January 7, 1943 (age 86 years), The New Yorker A Wyndham Hotel, New York, NY'
}

The output will be the requested information retrieved from the internet—or empty brackets {} if nothing was found or if the entered query does not match the selected search type (for example, querying something like "I love Antarctica" instead of some topic).

How to make a call

First, you must first call the standard chat completion endpoint with your query. (See the Chat Completion call in the corresponding section of this documentation or check how this call is made in the example below.)

Note that queries can include Google's advanced search syntax:

  • Search for an exact match: Enter a word or phrase inside quotes. For example, "tallest building".

  • Search for a specific site: Enter site: in front of a site or domain. For example, site:youtube.com cat videos.

  • Exclude words from your search: Enter - in front of a word that you want to leave out. For example, jaguar speed -car.

The chat completion endpoint returns an ID, which must then be passed as the sole input parameter followup_id to the bagoodex/knowledge endpoint below.

API Schema

Example

import requests
from openai import OpenAI

# Insert your AIML API Key instead of <YOUR_API_KEY>:
API_KEY = '<YOUR_API_KEY>'
API_URL = 'https://api.aimlapi.com'

# Call the standart chat completion endpoint to get an ID
def complete_chat():
    client = OpenAI(
        base_url=API_URL,
        api_key=API_KEY,
    )    

    response = client.chat.completions.create(
        model="bagoodex/bagoodex-search-v1",
        messages=[
            {
                "role": "user",
                "content": "Who is Nicola Tesla",
            },
        ],
    )
    
    # Extract the ID from the response
    gen_id = response.id  
    print(f"Generated ID: {gen_id}")
    
    # Call the Bagoodex endpoint with the generated ID
    get_knowledge(gen_id)

def get_knowledge(gen_id):
    params = {'followup_id': gen_id}
    headers = {'Authorization': f'Bearer {API_KEY}'}
    
    response = requests.get(f'{API_URL}/v1/bagoodex/knowledge', headers=headers, params=params)
    print(response.json())

# Run the function
complete_chat()

Model Response:

{
  'title': 'Nikola Tesla', 
  'type': 'Engineer and futurist', 
  'description': None, 
  'born': 'July 10, 1856, Smiljan, Croatia', 
  'died': 'January 7, 1943 (age 86 years), The New Yorker A Wyndham Hotel, New York, NY'
}

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