Find answers from the community

Updated last year

RAG from scratch

At a glance
what resources (books, article series, online courses, anything else) would you recommend for a summary of strategies on how to build a RAG system? I am looking for some tips on how to decide on best way to index content, what querying strategy to choose, how to incorporate user feedback etc - all necessary parts of working RAG. I am in process of building a RAG system of my own, but it very often feels like I am trying to reinvent the wheel (even when using llama-index, which has been a tremendous help) and I am curious to learn what folks here have been using to get ahead. any tips will be very much appreciated
E
j
L
7 comments
use the latest one
^^ great resource for learning how to build RAG yourself.

if you want a compilation of latest production RAG techniques check this out too: https://gpt-index.readthedocs.io/en/latest/end_to_end_tutorials/dev_practices/production_rag.html
These are an amazing guides @jerryjliu0, congrats!! nothing better than understand fully what you are doing, and how it works
thank you very much, looks like there was a great progress made on llama-index documentation since last time I checked it out πŸ™‚
Add a reply
Sign up and join the conversation on Discord