"Spartans-GraphRAG: Token-Efficient Threat Intelligence with TigerGraph"

Large Language Models are revolutionizing how we interact with data, but as they spread across industries, token consumption is exploding. Context windows are growing, but so are the bills. Basic Retrieval-Augmented Generation (RAG) often addresses this by stuffing massive chunks of text into the LLM's prompt based on vector similarity. While this works for simple queries, it fails when answering complex questions that require multi-hop reasoning. You end up feeding the model huge walls of text,...