But summarization is better to keep the model on topic for most cases. And there are other tricks.
Vectors and semantic search are one (likely questionable way given LLMs can likely reason over a table of contents or similar better) to search a large corpus or very large document. It's really only appropriate for a specific set of use cases. It's not some "general memory layer" for AI.
But summarization is better to keep the model on topic for most cases. And there are other tricks.
Vectors and semantic search are one (likely questionable way given LLMs can likely reason over a table of contents or similar better) to search a large corpus or very large document. It's really only appropriate for a specific set of use cases. It's not some "general memory layer" for AI.