To use the Embeddings API, please go through the detailed information about the API and its parameters from the Documentation.

If you don’t have an API key, please send your request - API Access Request Form.

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Example

Below is a Python example demonstrating how to make a request to the API to perform a contextual search:


import requests
import json

def retrieve_similar_filings_chunks(query):
    url = 'https://stockinsights-ai-main-49970eb.d2.zuplo.dev/api/in/v0/documents/embeddings-search'
    headers = {'Content-Type': 'application/json',
              'Authorization': 'Bearer YOUR_API_KEY_HERE'}
    data = {
        "query": query,
        "filters": {
            "types": ["earnings-transcript", "annual-report"],
            'year': '2024'
        }
    }

    response = requests.post(url, headers=headers, data=json.dumps(data))
    return response.json()
    
result = retrieve_similar_filings_chunks("FIIs contribution to Indian Capital Markets")

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Key Points

  • Replace YOUR_API_KEY_HERE with your actual API key in the Authorization header.
  • Modify the query parameter to suit your search needs.
  • Adjust the filters to target specific document types or time periods.
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