I agree that RAG doesn't have to be paired with vector search. Other types of search can work in some cases. Where vector search excels is that it can encode a

I agree that RAG doesn't have to be paired with vector search. Other types of search can work in some cases. Where vector search excels is that it can encode a complex question as a vector and does a good job bringing back the top n results. Its not impossible to do some of this with keyword search (term expansion, stopwords and so forth). Vector search just makes it easy. In the end, yes this is a better search system. And thinking about this step is a good point. I would go a step further and say it's also worth thinking about the RAG framework. Lots of examples use a OpenAI/Langchain/Chroma stack. But it's also worth evaluating RAG framework options. There might be frameworks that are easier to integrate and perform better for your use case. Disclaimer: I am the author of txtai: https://github.com/neuml/txtai https://github.com/neuml/txtai