Home > AI Solutions > Artificial Intelligence > Guides > Design Guide—Digital Assistant on Dell APEX Cloud Platform for Red Hat OpenShift with Red Hat OpenShift AI > Open-Source Licensing Information
This document provides design guidance on configuring a digital assistant using open-source tools. Open-source tools are distributed under various licenses, each with its own terms and conditions. Review and understand the license terms of each open-source tool you use before using it in your own solution. This will help you to ensure that you are complying with the license requirements and that you are not infringing on the intellectual property rights of the copyright holders.
It is the responsibility of the user to review and comply with the licensing terms and conditions of each tool mentioned in this document. Licensing information for each tool can be found on the respective tool's official website or in its documentation. We have also listed links to some of the open-source tools license page below.
All example codes are present in the GitHub with MIT License.
Llama 2 is an open-source LLM. The licensing information for Llama 2 can be found on the Meta web page.
LangChain is an open-source tool that can be used to work with LLMs. The licensing information for LangChain can be found on the LangChain GitHub web page.
Redis is an open-source, in-memory data structure store used as a database, cache, message Broker agent, and streaming. The licensing information for Redis can be found on the Redis web page.
PGVector is an open-source PostgreSQL extension that provides adds Vector store capability to PostgreSQL. The licensing information for PGVector can be found on the PGVector GitHub web page.
Gradio is an open-source tool that helps to generate an easy-to-use UI machine learning web apps with few lines of code. The licensing information for Gradio is available on the Gradio GitHub web page.
vLLM is a fast and simple library for LLM inference and serving. The licensing information for vLLM is available on the vLLM GitHub web page.