### Initialize Node.js Application

Source: https://www.mongodb.com/docs/get-started

Setup commands to create the project directory and install the MongoDB driver.

```shell
mkdir node-quickstart
cd node-quickstart
touch index.js
npm init -y
npm install mongodb
```

```shell
mkdir node-quickstart
cd node-quickstart
type nul > index.js
npm init -y
npm install mongodb
```

--------------------------------

### Initialize Project and Install Dependencies

Source: https://www.mongodb.com/docs/atlas/atlas-vector-search/ai-agents

Commands to create the project directory and install necessary packages for the AI agent.

```none
mkdir mongodb-ai-agent
cd mongodb-ai-agent
npm init -y
npm install --quiet dotenv mongodb voyageai openai langchain @langchain/community @langchain/core mathjs pdf-parse
```

--------------------------------

### Local Atlas Deployment Setup Output

Source: https://www.mongodb.com/docs/atlas/atlas-vector-search/tutorials/vector-search-quick-start

This output indicates the successful installation of the atlas-local-plugin and the progress of setting up the local Atlas deployment, including confirmation of sample data loading.

```text
"Installing first class plugin atlas-local-plugin"
"Plugin mongodb/atlas-local-cli successfully installed"
[1/4] [✅]   Pulling the latest version of the MongoDB image...
[2/4] [✅]   Creating the deployment...
[3/4] [✅]   Starting the deployment...
[4/4] [✅]   Waiting for the deployment to be healthy...
{"outcome":"setup","deployment_name":"local7816","mongodb_version":"8.2.5","port":53211,"load_sample_data":true,"connect_result":{"connect_outcome":"skipped"}}
```

--------------------------------

### Select Setup Method (Interactive Custom)

Source: https://www.mongodb.com/docs/atlas/cli/current/atlas-cli-deploy-local

Choose 'custom - With custom settings' for detailed configuration of your local MongoDB database during interactive setup.

```sh
? How do you want to setup your local MongoDB database?  [Use arrows to move, type to filter]
  default - With default settings
> custom - With custom settings
  cancel - Cancel set up
```

--------------------------------

### Run Python Application

Source: https://www.mongodb.com/docs/get-started

Execute the quickstart script from the project directory.

```shell
python3 quickstart.py
```

--------------------------------

### Select Setup Method (Interactive)

Source: https://www.mongodb.com/docs/atlas/cli/current/atlas-cli-deploy-local

Choose how to set up the local MongoDB database. Options include 'default - With default settings', 'custom - With custom settings', or 'cancel - Cancel set up'.

```sh
? How do you want to setup your local MongoDB database?  [Use arrows to move, type to filter]
> default - With default settings
  custom - With custom settings
  cancel - Cancel set up
```

--------------------------------

### Compile and Run Java Tutorial

Source: https://www.mongodb.com/docs/atlas/atlas-vector-search/tutorials/vector-search-tutorial

Use these commands to compile and run the AtlasVectorSearchTutorial.java file. This is the setup for both AND and OR operator examples.

```shell
javac AtlasVectorSearchTutorial.java
```

```shell
java AtlasVectorSearchTutorial
```

--------------------------------

### Start an Atlas Deployment

Source: https://www.mongodb.com/docs/atlas/cli/current/atlas-cli-deploy-local

Starts a paused deployment.

```sh
atlas deployments start
```

--------------------------------

### Install MongoDB Atlas CLI and Docker on Windows

Source: https://www.mongodb.com/docs/get-started

Installs the Atlas CLI and Docker Desktop using Chocolatey. Ensure Chocolatey is installed first.

```shell
choco install mongodb-atlas
choco install docker-desktop
```

--------------------------------

### Initialize Go Project

Source: https://www.mongodb.com/docs/atlas/atlas-vector-search/vector-quantization

Create a new directory and initialize a Go module for your project.

```shell
mkdir ingest-binary-vectors-project
cd ingest-binary-vectors-project
go mod init ingest-binary-vectors-project
```

--------------------------------

### Initialize .NET Project

Source: https://www.mongodb.com/docs/atlas/atlas-vector-search/tutorials/vector-search-quick-start

Commands to create a new directory and initialize a console application.

```bash
mkdir query-quick-start
cd query-quick-start
dotnet new console
```

--------------------------------

### Install MongoDB Atlas CLI and Docker on macOS

Source: https://www.mongodb.com/docs/get-started

Installs the Atlas CLI and Docker Desktop using Homebrew. Ensure Homebrew is installed first.

```shell
brew install mongodb-atlas
brew install --cask docker
```

--------------------------------

### Initialize Go Project

Source: https://www.mongodb.com/docs/get-started

Commands to create a project directory, initialize a Go module, and install the MongoDB driver.

```shell
mkdir go-quickstart
cd go-quickstart
go mod init go-quickstart
go get go.mongodb.org/mongo-driver/v2/mongo
touch main.go
```

```shell
mkdir go-quickstart
cd go-quickstart
go mod init go-quickstart
go get go.mongodb.org/mongo-driver/v2/mongo
type nul > main.go
```

--------------------------------

### Install MongoDB PHP Driver

Source: https://www.mongodb.com/docs/atlas/atlas-vector-search/tutorials/vector-search-quick-start

Instructions for installing the MongoDB PHP driver. Refer to the official MongoDB PHP Library documentation for comprehensive installation steps.

```text
For detailed installation instructions, see the [MongoDB PHP Library documentation](https://www.mongodb.com/docs/php-library/current/get-started/#std-label-php-download-and-install).
```

--------------------------------

### Install Dependencies for MongoDB AI Agent

Source: https://www.mongodb.com/docs/atlas/atlas-vector-search/ai-agents

Installs necessary Python packages for building an AI agent with MongoDB integration. Ensure you have Python and pip installed.

```none
mkdir mongodb-ai-agent
cd mongodb-ai-agent
pip install --quiet --upgrade pymongo voyageai openai langchain langchain-mongodb
langchain-community python-dotenv
```

--------------------------------

### Create a C++ quickstart application

Source: https://www.mongodb.com/docs/get-started

A basic C++ application that connects to a MongoDB cluster and performs a find_one query.

```cpp
#include <cstdint>
#include <iostream>
#include <vector>

#include <bsoncxx/builder/basic/document.hpp>
#include <bsoncxx/json.hpp>
#include <mongocxx/client.hpp>
#include <mongocxx/instance.hpp>
#include <mongocxx/uri.hpp>

using bsoncxx::builder::basic::kvp;
using bsoncxx::builder::basic::make_document;

int main() {
    mongocxx::instance instance;
    mongocxx::uri uri("<connection string URI>");
    mongocxx::client client(uri);
    auto db = client["sample_mflix"];
    auto collection = db["movies"];

    auto result = collection.find_one(make_document(kvp("title", "The Shawshank Redemption")));
    if (result) {
        std::cout << bsoncxx::to_json(*result) << std::endl;
    } else {
        std::cout << "No result found" << std::endl;
    }
}
```

--------------------------------

### Install PyMongo Driver

Source: https://www.mongodb.com/docs/atlas/atlas-vector-search/tutorials/vector-search-tutorial

Install the required Python driver for MongoDB interaction.

```sh
pip install pymongo
```

--------------------------------

### Build and install the driver

Source: https://www.mongodb.com/docs/get-started

Commands to compile and install the driver on macOS and Windows.

```bash
cmake --build .
sudo cmake --build . --target install
```

```bash
cmake --build . --config RelWithDebInfo
cmake --build . --target install --config RelWithDebInfo
```

--------------------------------

### Initialize Node.js Project

Source: https://www.mongodb.com/docs/atlas/atlas-vector-search/hybrid-search/vector-search-with-full-text-search

Commands to set up a new directory, initialize npm, and install the MongoDB driver.

```shell
# Create a new directory and initialize the project
mkdir atlas-search-project && cd atlas-search-project
npm init -y

# Add the MongoDB Node.js Driver to your project
npm install mongodb
```

--------------------------------

### Select Deployment Type (Interactive)

Source: https://www.mongodb.com/docs/atlas/cli/current/atlas-cli-deploy-local

During interactive setup, choose the type of deployment. Select 'local - Local Database' to set up a local instance.

```sh
? What would you like to deploy?  [Use arrows to move, type to filter, ? for more help]
> local - Local Database
  atlas - Atlas Database
```

--------------------------------

### Example script output

Source: https://www.mongodb.com/docs/atlas/atlas-vector-search/vector-quantization

This is an example of the expected output when the upload script runs successfully.

```text
Connected to MongoDB
Updated document with text: ...
...
Embeddings stored in MongoDB successfully.
```

--------------------------------

### Initialize PHP Application and Install MongoDB Extension (Windows)

Source: https://www.mongodb.com/docs/get-started

Creates a new directory, a PHP file, installs the MongoDB extension using 'pie', and requires the MongoDB Composer package on Windows.

```shell
mkdir php-get-started
cd php-get-started
type nul > getstarted.php
pie install mongodb/mongodb-extension
composer require mongodb/mongodb
```

--------------------------------

### Install MongoDB Ruby Driver

Source: https://www.mongodb.com/docs/atlas/atlas-vector-search/tutorials/vector-search-quick-start

Commands to initialize a Gemfile and install the MongoDB Ruby driver dependency.

```sh
bundle init
```

```ruby
gem "mongo"
```

```sh
bundle install
```

--------------------------------

### Install Atlas CLI with Homebrew

Source: https://www.mongodb.com/docs/atlas/cli/current/atlas-cli-deploy-local

Use this command to install the Atlas CLI if you are using Homebrew on macOS.

```bash
brew install mongodb-atlas-cli
```

--------------------------------

### Create Tutorial File

Source: https://www.mongodb.com/docs/atlas/atlas-vector-search/tutorials/vector-search-tutorial

Instruction for creating a new Node.js file for MongoDB Atlas Vector Search.

```bash
#### Create a file named `atlas-vector-search-tutorial.js`.
```

--------------------------------

### Initialize Project Directory

Source: https://www.mongodb.com/docs/atlas/atlas-vector-search/tutorials/vector-search-quick-start

Navigate to the project folder and create the required CMake configuration file.

```bash
cd query-quick-start
touch CMakeLists.txt
```

--------------------------------

### Example Query Embeddings Data

Source: https://www.mongodb.com/docs/atlas/atlas-vector-search/tutorials/vector-search-quick-start

This is an example of the data structure for query embeddings, represented as an array of numbers.

```javascript
[
-0.017033506,-0.027087428,0.044536386,-0.038055345,0.001329444,-0.019609304,0.023597637,-0.043206941,0.040049512,0.017615138,0.046862911,0.02127111,0.013294443,-0.039550968,-0.018861491,-0.019609304,-0.033734649,0.00623177,-0.017199686,0.041212775,-0.017781317,-0.024262359,0.054507218,-0.009721561,0.005816319,-0.00206687,-0.008766023,0.017365867,-0.000737426,0.018362951,-0.023597637,-0.019110762,0.021935832,0.041545134,-0.020357117,-0.017615138,0.044868745,-0.018030589,-0.032405205,-0.050186522,-0.014540797,0.005213914,-0.006688767,0.047527634,0.040714234
]
```

--------------------------------

### Install MongoDB Driver and dotenv

Source: https://www.mongodb.com/docs/atlas/atlas-vector-search/vector-quantization

Install the necessary dependencies for the MongoDB Node.js driver and environment variable management.

```shell
npm install mongodb dotenv
```

--------------------------------

### Execute the Agent via Command Line

Source: https://www.mongodb.com/docs/atlas/atlas-vector-search/ai-agents

Command to start the agent application.

```none
python main.py
```

--------------------------------

### Set up Python Project for Atlas Search

Source: https://www.mongodb.com/docs/atlas/atlas-search/field-types/number-type

Installs PyMongo for interacting with MongoDB. Ensure you have Python and pip installed.

```shell
mkdir atlas-search-project && cd atlas-search-project

pip install pymongo
```

--------------------------------

### Set up a Python Project for MongoDB

Source: https://www.mongodb.com/docs/atlas/atlas-vector-search/hybrid-search/vector-search-with-full-text-search

Commands to initialize a project directory and install the PyMongo driver.

```shell
# Create a new directory for the project
mkdir atlas-search-project && cd atlas-search-project

# Install PyMongo
pip install pymongo
```

--------------------------------

### Initialize Node.js Project Directory

Source: https://www.mongodb.com/docs/atlas/atlas-vector-search/vector-quantization

Create a new project directory and initialize it with default settings using npm.

```shell
mkdir my-quantization-project
cd my-quantization-project
npm init -y
```

--------------------------------

### Initialize Go Module and Add MongoDB Driver

Source: https://www.mongodb.com/docs/atlas/atlas-search/field-types/number-type

Set up a new Go project directory and initialize the Go module. Then, add the MongoDB Go Driver to your project dependencies. This is the initial setup for using the driver in a Go application.

```shell
# Create a new directory and initialize the project
mkdir atlas-search-project && cd atlas-search-project
go mod init atlas-search-project

# Add the MongoDB Go Driver to your project
go get go.mongodb.org/mongo-driver/v2/mongo
```