You can access the OpenAI Vector Store Integration programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = { "datasetFields": [
9        "url",
10        "text",
11        "metadata.title",
12    ] }
13
14# Run the Actor and wait for it to finish
15run = client.actor("jiri.spilka/openai-vector-store-integration").call(run_input=run_input)
16
17# Fetch and print Actor results from the run's dataset (if there are any)
18print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
19for item in client.dataset(run["defaultDatasetId"]).iterate_items():
20    print(item)
21
22# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

OpenAI Vector Store Integration API in Python

The Apify API client for Python is the official library that allows you to use OpenAI Vector Store Integration API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

OpenAI Vector Store Integration API in JavaScript

OpenAI Vector Store Integration API through CLI

OpenAI Vector Store Integration OpenAPI definition

OpenAI Vector Store Integration API

Chroma Integration

apify/chroma-integration

This integration transfers data from Apify Actors to a Chroma and is a good starting point for a question-answering, search, or RAG use case.

Apify

4.5

PGVector Integration

apify/pgvector-integration

This integration transfers data from Apify Actors to a Postgres SQL database (with PGVector extension).

Apify

4.6

Pinecone Integration

apify/pinecone-integration

This integration transfers data from Apify Actors to a Pinecone and is a good starting point for a question-answering, search, or RAG use case.

Apify

487

3.2

Send FCM

martin.forejt/send-fcm

This actor can be used as integration with Firebase Cloud Messaging (FCM). It sends a message (aka push notification) to a device, group of devices or topics. The message can be fully customised supporting all FCM options.

Martin Forejt

5.0

Supabase MCP SelfHosted

coupaul/Supabase-MCP-SelfHosted

🔒 Self-Hosted Supabase MCP Server - Enhanced Security Production-ready MCP server for self-hosted Supabase with enterprise security. Features SQL injection prevention, rate limiting, Docker optimization & direct DB access. Tools: database ops, auth, storage, types. Perfect for production!

Paul Roelens

Send Email

apify/send-mail

Send a custom email to one or more recipients. This Actor is useful for notifications and reporting. It can be invoked directly from code or via webhook integration after another Actor finishes.

Apify

4.7

Flow AI Agent

flow-ai/flow-ai-agent

Flow AI is a platform for building, deploying, and monetizing AI agents tailored for the Web3 ecosystem and their community. It enables users to gather insights from onchain and offchain data and run complex transactions.

Flow AI

5.0

CrewAI MCP Tester

jakub.kopecky/crewai-mcp-tester

Automated Model Context Protocol (MCP) server testing tool. Connects to MCP servers, tests available tools using CrewAI agent, and generates detailed reports with pass/fail status. Supports custom authentication headers.