This session will focus on the significance and advantages of using free and open source software and tools to implement AI and ML based tools and models. I will be focusing on some FOSS tools and libraries such as LangChain and OSS large language models such as llama. I will be explaining the basics of implementing a RAG pipeline using only FOSS tools and models. In the end I will provide context about what open data is and why it is important to use open data in AI and ML instead of using proprietary and copyrighted data. I will also be providing some FOSS alternatives to popular proprietary AI tools and I will be exploring various sources through which we can obtain open data.