Quickstart: PageIndex API

Get started with PageIndex by first getting your 🔑 API key.

The PageIndex API consists of two main components:

• PageIndex Tree Generation: Upload a document to generate a PageIndex tree index.
• PageIndex Retrieval: Ask a query to retrieve relevant content from a document.

This document provides a brief introduction to using the API and includes example response formats.

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🌲 PageIndex Tree Generation

Use this API to extract and return a PageIndex structure from a document.

Endpoints

• Submit a document: https://api.vectify.ai/pageindex/ (POST)
• Get status and result: https://api.vectify.ai/pageindex/{doc_id}/ (GET)
• Delete: https://api.vectify.ai/pageindex/{doc_id}/ (DELETE)

Example (Python)

import requests

# Submit document for PageIndex tree generation
with open('./2023-annual-report.pdf', 'rb') as file:
    submit_response = requests.post(
        "https://api.vectify.ai/pageindex/",
        headers={"api_key": "YOUR_API_KEY_HERE"},
        files={"file": file}
    )
doc_id = submit_response.json()["doc_id"]

# Check processing status and retrieve result
status_response = requests.get(
    f"https://api.vectify.ai/pageindex/{doc_id}/",
    headers={"api_key": "YOUR_API_KEY_HERE"}
)
status_data = status_response.json()

if status_data["status"] == "completed":
    print("PageIndex Tree Structure:", status_data["result"])

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🔎 PageIndex Retrieval

Use this API to retrieve relevant content from a document. This requires a completed PageIndex computation (doc_id).

Endpoints

• Submit a query for retrieval: https://api.vectify.ai/pageindex/{doc_id}?query=YOUR_QUERY_TEXT (GET)
• Get Retrieval Result: https://api.vectify.ai/pageindex/retrieval/{retrieval_id}/ (GET)

Example (Python)

import requests

# Submit retrieval query (single GET request)
query = "What are the main risk factors?"
doc_id = "YOUR_PAGEINDEX_DOC_ID"
retrieval_response = requests.get(
    f"https://api.vectify.ai/pageindex/{doc_id}?query={query}",
    headers={'api_key': 'YOUR_API_KEY_HERE'}
)
retrieval_id = retrieval_response.json()["retrieval_id"]

# Check status and retrieve result
status_response = requests.get(
    f"https://api.vectify.ai/pageindex/retrieval/{retrieval_id}/",
    headers={'api_key': 'YOUR_API_KEY_HERE'}
)
status_data = status_response.json()

if status_data["status"] == "completed":
    print("Retrieved Content:", status_data["retrieved_nodes"])

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👉 See the full API Reference for optional parameters, error codes, and integration guides.

Support

📝 Notes

• Accepts PDF files only (more formats coming soon)
• Retrieval depends on a completed PageIndex computation and requires a valid doc_id
• Continuous updates: better parsing, broader format support, and database export coming soon

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