Recent Blog ArticlesMost RecentMost LikesExpanded model catalog for AI Toolkit As covered in an earlier blog post, the AI Toolkit extension for Visual Studio Code (VS Code) enables users to run AI models directly within the VS Code interface. This can be particularly valuable i...The Future of AI: GraphRAG – A better way to query interlinked documents All language models are trained on a huge corpus of data. They have some world knowledge and can answer a range of questions about different things. However, due to their probabilistic nature and inc...Responsible AI Mitigation Layers Generative AI is increasingly being used in various kinds of systems to augment humans and infuse intelligent behavior into existing and new apps. While this opens up a world of opportunities for new...Building Retrieval Augmented Generation on VSCode & AI Toolkit LLMs usually have limited knowledge about specific domains. Retrieval Augmented Generation (RAG) helps LLMs be more accurate and give relevant output to specific domains and datasets. We will see how...Building RAG on Phi-3 locally using embeddings on VS Code AI Toolkit In this blog, we will see how we can use embeddings along with Phi-3 on AI toolkit for VSCode to generate better results on Retrieval Augmented Generation (RAG).
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