I found it interesting because they: - Made a RAG in ~50 lines of ruby (practical and efficient) - Perform authorization on chunks in 2 lines of code (!!) -

I found it interesting because they: - Made a RAG in ~50 lines of ruby (practical and efficient) - Perform authorization on chunks in 2 lines of code (!!) - Offload retrieval to Algolia. Since a RAG is essentially LLM + retriever, the retriever typically ends up being most of the work. So using an existing search tool (rather than setting up a dedicated vector db) could save a lot of time/hassle when building a RAG.