Unbundling the Graph

Unbundling the Graph in GraphRAG – O’Reilly

Large language models (LLMs), which are also effective syntax engines, tend to “hallucinate” (i.e., invent outputs from parts of their training data). However, the unfocused results may also be fun, although not always factually grounded. RAG provides a solution to “ground” solutions within a specific context of content material. Also, rather than costly retraining or … Read more