The app focuses on a retail example using the H&M Personalized Fashion Recommendations Dataset, a sample of real customer purchase data that includes rich information around products including names, ...

As the architecture diagram shows, this solution accelerator brings together vector search, semantic ranking, and GraphRAG. Here are some highlights, including the information retrieval pipeline: ...

Microsoft is making publicly available a new technology called GraphRAG, which enables chatbots and answer engines to connect the dots across an entire dataset, outperforming standard ...

The knowledge graph creation process is called indexing. An LLM, guided by a set of domain-specific prompts, reads all the source content and extracts the relevant information, including entities and ...

GraphRAG explains why AI is shifting from isolated text to connected knowledge, and what that means for AI search ...

I am an AI Reseach Engineer. I was formerly a researcher @Oxford VGG before founding the AI Bites YouTube channel. I am an AI Reseach Engineer. I was formerly a researcher @Oxford VGG before founding ...

Retrieval-augmented generation (RAG) allows AI systems to provide additional information and context to a large language model (LLM) when generating a response to a user query. However, traditional ...

Microsoft announced an update to GraphRAG that improves AI search engines’ ability to provide specific and comprehensive answers while using less resources. This update speeds up LLM processing and ...