---
date:
  created: 2024-12-31
categories:
  - Vector Search
  - Vector Databases
tags:
  - Qdrant
  - OpenAI
authors:
  - myriel
---
# What is a Vector Database?

![img](/img/hybrid.gif)

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nulla et euismod
nulla. Curabitur feugiat, tortor non consequat finibus, justo purus auctor
massa, nec semper lorem quam in massa.

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## Overview
![img](/img/post-1/image1.png)
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod
tempor incididunt ut labore et dolore magna aliqua.

``` py
import tensorflow as tf
```

### Background

=== "C"

    ``` c
    #include <stdio.h>

    int main(void) {
      printf("Hello world!\n");
      return 0;
    }
    ```

=== "C++"

    ``` c++
    #include <iostream>

    int main(void) {
      std::cout << "Hello world!" << std::endl;
      return 0;
    }
    ```

More info
![img](/img/post-1/image2.png)
!!! example

    === "Unordered List"

        ``` markdown
        * Sed sagittis eleifend rutrum
        * Donec vitae suscipit est
        * Nulla tempor lobortis orci
        ```

    === "Ordered List"

        ``` markdown
        1. Sed sagittis eleifend rutrum
        2. Donec vitae suscipit est
        3. Nulla tempor lobortis orci
        ```

!!! example "Set up a blog"

    If you have not done so already, create a project for your blog,
    then edit the `mkdocs.yml` file to make sure if has the following content:

    ```yaml
    site_name: Blog Tutorial
    site_description: an example blog set up following the tutorial
    site_url: http://www.example.com

    theme:
      name: material

    plugins:
      - search
      - blog
    ```

    The blog plugin will create a directory structure for your blog posts if it
    does not exist, so simply run `mkdocs serve` to get:

    ```
    docs
    ├── blog
    │   ├── index.md
    │   └── posts
    └── index.md
    ```