LlamaIndex Sessions: 12 RAG Pain Points and Solutions

We’re excited to feature Wenqi Glantz for a personal walkthrough video of her popular “12 RAG Pain Points and Solutions” blog post, which is the most comprehensive cheatsheet we’ve seen of pain points that occur at every stage of the RAG pipeline: data ingestion, retrieval, reranking, synthesis, and more.
Source paper: towardsdatasci...

[@DonBranson1]

simply amazing. I liked your constructive response to a paper with a pessimistic title. Embrace your challenges and keep moving forward. Appreciate the mapping to LllamaIndex Notebooks.

[@kenchang3456]

Excellent video, and very informative. Thank you very much.

[@kevon217]

Excellent compilation. Super helpful.

[@christyson4245]

This is brilliant! Thanks for sharing!

[@duongkstn]

very informative, thanks !

[@karanv293]

im genuinely confused. what is the most accurate strategy to date?
Theres so many tutorials out there , which one should I use for my use case. If you could guide me on that and then I can follow along a tutorial of somekind would be great.
For example, i saw your posted workshop of advanced RAG with gemini.
Should i follow that as the guide?

[@evermorecurious91]

Haha. You can read the SOTA of RAG paper. This stuff keeps evolving, so you better follow one good source or be that source.

[@karanv293]

@@evermorecurious91 hahaha yeah I guess just stick with one and go with it.

[@sysadmin9396]

I have a python flask chatbot working hosted on AWS. Issue is all users that query the bot are getting answers from other users, in other words, it’s just one huge chat session for many users. How can I separate the sessions?

[@tecnopadre]

Can be all this solutions implemented at once?