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Guides :

Step 1 : Quickstart the application.

Use quickstart to reach the login screen.

Step 2 : Generate Google Credentials And Add Scopes.

Set-up your google credentials and add scopes.

Step 3 : Add AI provider

Add AI Provider of your choice to use Chat.

Step 4 : Ingest Your Data

Ingest your Data into the Xyne App.
If you want to deploy Xyne using your local machine, this document will give you a detailed guide to do so. Follow the steps listed below to get started :

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Install the required dependencies :

Deployment of Xyne requires you to only install Docker and Docker Compose: Once you have installed the dependencies, you can use the following steps to set up the app.

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Clone the repository :

Use the following git command to clone the xyne repository. 
git clone https://github.com/xynehq/xyne.git

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Deploy Xyne with Docker :

Remember to ensure that your Docker service is running. Incase you’re using Docker Desktop, ensure that is running too
If you have postgres running, we suggest you kill the process before starting docker
Run the application with the following command from the xyne folder: 
docker-compose -f deployment/docker-compose.yml up
And that is all 🎉 ! The app will now be available in port 3001. Go to xyne
Since the size of the downloading models can be quite large, wait for the application to start running, this can take around 10 - 15 minutes, depending on your internet connection.
You can also choose to follow the Step guide mentioned above

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Post Execution Setup [Environment Variables]:

To unlock the full potential of the Xyne app, you need to enable Google Authentication. This requires setting up your Google credentials first.

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Taking down docker-compose

First, bring down the Docker Compose setup using: 
docker-compose -f deployment/docker-compose.yml down

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Getting Google Credentials

Then proceed to obtain your GOOGLE_CLIENT_ID and GOOGLE_SECRET by following this guide:

Setup Google Credentials

Setup your Google Credentials for the application.

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Setting the environment variables:

Inside the server folder of the xyne folder, you will find a .env.default file, this is the environment file that our docker uses. For the moment you will find some default generated environment variables that we’ve set up for the app to work.
We strictly recommend generating your own ENCRYPTION_KEY, SERVICE_ACCOUNT_ENCRYPTION_KEY and JWT_SECRET values for security.
Due to our agentic RAG implementation, the maximum TPM limit exceeds for Open AI’s gpt4o model. For the best experience, we recommend using AWS Bedrock or Claude, as it enhances performance and accuracy.
In the .env.default file, you can modify the following and replace the missing values with your own :
.env.default file
ENCRYPTION_KEY=<YOUR_ENCRYPTION_KEY>
SERVICE_ACCOUNT_ENCRYPTION_KEY=<YOUR_SERVICE_ACCOUNT_ENCRYPTION_KEY> 
  

GOOGLE_CLIENT_ID=<YOUR_GOOGLE_CLIENT_ID>
GOOGLE_CLIENT_SECRET=<YOUR_GOOGLE_CLIENT_SECRET>
GOOGLE_REDIRECT_URI=http://localhost:3000/v1/auth/callback
GOOGLE_PROD_REDIRECT_URI=http://localhost:3001/v1/auth/callback


JWT_SECRET=<YOUR_JWT_SECRET>


DATABASE_HOST=xyne-db
VESPA_HOST=vespa

## If using AWS Bedrock
AWS_ACCESS_KEY=<YOUR_AWS_ACCESS_KEY>
AWS_SECRET_KEY=<YOUR_AWS_ACCESS_SECRET>
AWS_REGION=<YOUR_AWS_REGION>
  
## OR [ If using Open AI ]
OPENAI_API_KEY=<YOUR_OPEN_API_KEY>

## OR [ If using Ollama ] 
OLLAMA_MODEL=<YOUR_OLLAMA_MODEL_NAME> 

## OR  [ If using Together AI ] 
TOGETHER_API_KEY=<YOUR_TOGETHER_API_KEY>
TOGETHER_MODEL=<YOUR_TOGETHER_MODEL>
TOGETHER_FAST_MODEL=<YOUR_TOGETHER_FAST_MODEL>

## OR  [ If using Fireworks AI ] 
FIREWORKS_API_KEY=<YOUR_FIREWORKS_API_KEY>
FIREWORKS_MODEL=<YOUR_FIREWORKS_MODEL>
FIREWORKS_FAST_MODEL=<YOUR_FIREWORKS_FAST_MODEL>

## OR [If using Google AI]
GEMINI_API_KEY=<YOUR_GEMINI_API_KEY> 
GEMINI_MODEL=<YOUR_GEMINI_MODEL_NAME>  

## If you are using custom OpenAI or Together AI endpoints
BASE_URL=<YOUR_BASE_URL>

HOST=http://localhost:3001
To use the chat feature of Xyne, you need any one AI provider (AWS, Ollama, OpenAI Together AI or Fireworks AI). Missing keys will disable chat functionality.
You can checkout the AI Providers section for better clarity :

Setup AI Providers for Xyne

Setup your AI Provider.
Chat will be unavailable without a Service Account or OAuth Account connection.
And build the container again from the xyne folder using : 
docker-compose -f deployment/docker-compose.yml up
Currently the client side has .env variables that refer to port 3001, if you’ve changed the port number ensure to change the values in the .env as well.

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Ingesting data

Follow the guide below to learn more about ingesting data into xyne app:

Ingest data in Xyne app

Ingest data into Xyne app.