The Shinkansen is FASCINATING.
I recently went and was amazed by Tokyo's infrastructure and how they have a city under a city.
The fact that there is a bullet train at tokyo station every 10 mins or so is mind blowing
I went into a Youtube rabbit hole the other night...
Well, of course I'm biased on the answer :). But to give a not-so-biased answer, I would first try to understand what the project is about and whether RAG is a priority in it.
If the project is leveraging agents and LLMs without worrying too much on context/up-to-date data then Haystack could be a good option.
If the focus is to eventually use RAG then our framework could help.
Additionally, there might be a potential route where both are used, depending on the use case.
Feel free to dm if you want to chat further on this!
Relevance calculations are handled by the vector db but we try to improve such relevance with the use of metadata (you will see how our components have "selectors" so that metadata can flow all the way to the vector database at the vector level and have an influence when results/scores get retrieved at search time)