Pricing

Pay per usage

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Milvus Integration

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Developed by

Apify

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

4.5 (2)

Pricing

Pay per usage

Total users

Monthly users

Last modified

a month ago

Integrations

Open source

You can access the Milvus 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 = {
9    "datasetFields": ["text"],
10    "dataUpdatesStrategy": "deltaUpdates",
11    "dataUpdatesPrimaryDatasetFields": ["url"],
12    "deltaUpdatesPrimaryDatasetFields": ["url"],
13}
14
15# Run the Actor and wait for it to finish
16run = client.actor("apify/milvus-integration").call(run_input=run_input)
17
18# Fetch and print Actor results from the run's dataset (if there are any)
19print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
20for item in client.dataset(run["defaultDatasetId"]).iterate_items():
21    print(item)
22
23# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Milvus Integration API in Python

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

Install the apify-client

$pip install apify-client

Other API clients include:

Milvus Integration API in JavaScript

Milvus Integration API through CLI

Milvus Integration OpenAPI definition

Milvus Integration API

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

350

Weaviate Integration

apify/weaviate-integration

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

Apify

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

OpenSearch Integration

apify/opensearch-integration

Transfer data from Apify Actors to Amazon OpenSearch Service. This Actor is a good starting point for building question-answering systems, search functionality, or Retrieval-Augmented Generation (RAG) use cases.

Apify

PGVector Integration

apify/pgvector-integration

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

Apify

Apify Actors

prog-party/apify-actors

This Apify Actors Actor retrieves data from Apify, allowing to filter, and returns a list of actors as a Dataset.

Prog Party

Qdrant Integration

apify/qdrant-integration

Transfer data from Apify Actors to a Qdrant vector database.

Apify

Public Actors Lister

jancurn/public-actors-fetcher

Downloads a list of all Actors published in Apify Store, with all properties such as URL, title, description, etc. This is useful to create a knowledge file for a GPT, so that it knows which Actors can it use.

Jan Čurn

Send Email Integration

simon.m/send-email-integration

Integration actor to send email using apify/send-mail aactor. This integration uses key-value store in order to create the email.

Šimon Maresz

RabbitMQ Integration

brasil-scrapers/rabbitmq-integration

This integration processes data from an Apify dataset and delivers it to a RabbitMQ queue. It is configured via a schema that includes details about the dataset and RabbitMQ connection settings.