kotaemon/docs/index.md

Getting Started with Kotaemon

This page is intended for end users who want to use the kotaemon tool for Question Answering on local documents.

Download

Download and upzip the latest version of kotaemon by clicking this link.

Choose what model to use

The tool uses Large Language Model (LLMs) to perform various tasks in a QA pipeline. So prior to running, you need to provide the application with access to the LLMs you want to use.

Please edit the .env file with the information needed to connect to the LLMs. You only need to provide at least one. However, tt is recommended that you include all the LLMs that you have access to, you will be able to switch between them while using the application.

Currently, the following providers are supported:

OpenAI

In the .env file, set the OPENAI_API_KEY variable with your OpenAI API key in order to enable access to OpenAI's models. There are other variables that can be modified, please feel free to edit them to fit your case. Otherwise, the default parameter should work for most people.

OPENAI_API_BASE=https://api.openai.com/v1
OPENAI_API_KEY=<your OpenAI API key here>
OPENAI_CHAT_MODEL=gpt-3.5-turbo
OPENAI_EMBEDDINGS_MODEL=text-embedding-ada-002

Azure OpenAI

For OpenAI models via Azure platform, you need to provide your Azure endpoint and API key. Your might also need to provide your developments' name for the chat model and the embedding model depending on how you set up Azure development.

AZURE_OPENAI_ENDPOINT=
AZURE_OPENAI_API_KEY=
OPENAI_API_VERSION=2024-02-15-preview
AZURE_OPENAI_CHAT_DEPLOYMENT=gpt-35-turbo
AZURE_OPENAI_EMBEDDINGS_DEPLOYMENT=text-embedding-ada-002

Local models

• Pros:
  • Privacy. Your documents will be stored and process locally.
  • Choices. There are a wide range of LLMs in terms of size, domain, language to choose from.
  • Cost. It's free.
• Cons:
  • Quality. Local models are much smaller and thus have lower generative quality than paid APIs.
  • Speed. Local models are deployed using your machine so the processing speed is limited by your hardware.

Find and download a LLM

You can search and download a LLM to be ran locally from the Hugging Face Hub. Currently, these model formats are supported:

• GGUF

You should choose a model whose size is less than your device's memory and should leave about 2 GB. For example, if you have 16 GB of RAM in total, of which 12 GB is available, then you should choose a model that take up at most 10 GB of RAM. Bigger models tend to give better generation but also take more processing time.

Here are some recommendations and their size in memory:

• Qwen1.5-1.8B-Chat-GGUF: around 2 GB

Enable local models

To add a local model to the model pool, set the LOCAL_MODEL variable in the .env file to the path of the model file.

LOCAL_MODEL=<full path to your model file>

Here is how to get the full path of your model file:

• On Windows 11: right click the file and select Copy as Path.

Installation

1. Navigate to the scripts folder and start an installer that matches your OS:
   • Windows: run_windows.bat. Just double click the file.
   • macOS: run_macos.sh
     1. Right click on your file and select Open with and Other.
     2. Enable All Applications and choose Terminal.
     3. NOTE: If you always want to open that file with Terminal, then check Always Open With.
     4. From now on, double click on your file and it should work.
   • Linux: run_linux.sh. If you are using Linux, you would know how to run a bash script, right ?
2. After the installation, the installer will ask to launch the ktem's UI,answer to continue.
3. If launched, the application will be available at http://localhost:7860/.

Launch

To launch the app after initial setup or any changes, simply run the run_* script again.

A browser window will be opened and greet you with this screen:

Usage

For how to use the application, see Usage. Have fun !

Feedback

Feel free to create a bug report or a feature request or join a discussion at https://github.com/Cinnamon/kotaemon/issues.