RAG – Winston Wang

How RAG Technology Powers AI-Driven Search Engines: A Deep Dive into Tech Behind Perplexity AI

Have you ever wondered how AI tools like ChatGPT, powered by large language models (LLMs), manage to answer nearly any question posed by users, especially in open-domain queries that require extensive knowledge or up-to-date facts? Relying solely on traditional LLMs to generate answers can be incredibly challenging. Here’s why: 1. Knowledge Limitations: LLMs are trained

Introducing Graph RAG: A New Approach to Addressing Global Query Challenges in Large Language Models

Leave a Comment / Paper Skimming / By Winston

Traditional Retrieval-Augmented Generation (RAG) systems often struggle when it comes to handling global queries that require summarizing entire datasets. To address this limitation, a team from Microsoft Research and associated departments has developed a novel method called Graph RAG. This approach combines the strengths of graph-based indexing and query-focused summarization to enhance the ability of

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Paper SkimmingAI, GraphRAG, LLM, Microsoft Research, RAG