alt Hacker NewsAny kind of search prior for content to provide as context to the LLM prompt is RAG. The goal is to leverage traditional information retrieval as a source of context. https://cloud.google.com/use-cases/retrieval-augmented-gener...
I'm currently working on a demonstration/POC system using my ElasticSearch as my content source, generating embeddings from that content, and passing them to my local LLM.
It would be cool to be talking to other people about the RAG systems they’re building. I’m working in a silo at the moment, and pretty sure that I’m reinventing a lot of techniques