Previously, I have written many articles introducing RAG implemented based on Azure OpenAI. This article introduces the implementation of RAG through Phi-2 and LlamaIndex. LlamaIndex is an open-source framework that effectively builds LLM applications when used in conjunction with Hugging Face Transformers, providing convenient methods for setting up databases and retrievers. The community activity of … Read more
This article provides a clear visualization to help you understand which framework or tool to choose for your business use case when developing “Agent applications”. Introduction In the rapidly evolving field of artificial intelligence, a new paradigm is emerging that promises to revolutionize the way we interact with and utilize AI systems: AI Agents. These … Read more
RAG 75% for retrieval, 25% for generation. All aimed at enhancing the ability to retrieve relevant contextual information. 1. RAG Working Principle and Technical Architecture RAG (Retrieval-Augmented Generation) is a technical architecture that combines information retrieval and generation models. Its basic working principle is to enhance the output of the generation model through the retrieval … Read more
Hi, I’m GuiGui, exploring AI. If you like the content here, please follow to stay updated! Slash Little Ghost Have you ever encountered a situation where you eagerly ask AI a question, only for it to provide a completely absurd answer? For instance, if you ask, “What is Python?” and it responds, “Python is a … Read more