Large language models (LLMs) often struggle with accuracy when handling domain-specific questions, especially those requiring multi-hop reasoning or access to…
Large language models (LLMs) often struggle with accuracy when handling domain-specific questions, especially those requiring multi-hop reasoning or access to proprietary data. While retrieval-augmented generation (RAG) can help, traditional vector search methods often fall short. In this tutorial, we show you how to implement GraphRAG in combination with fine-tuned GNN+LLM models to achieve…
