RAG in 2024: Advancing to Agents

[@TheLambdaPandas]

Loved this video, exactly what I’m looking for in how to improve my RAG pipeline

[@mili1340]

Extremely well put and explained. Thank you

[@maria-wh3km]

You are so good at explining this subject simply, well done!

[@bongimusprime7981]

Great work! Do you have any content like this with GraphRAG?

[@shacafa]

You sir, are a gentleman and a scholar

[@cagdasucar3932]

I'm curious about the speed of reasoning for Language Agent Tree Search reasoning. Could you provide some rough numbers in terms of what we can expect? Maybe with Open AI or Groq?

[@feralmachine]

A "putting it all together" example on github would be much appreciated.

[@SheeceGardazi]

loved the quick talk and the format!

[@gsayesh]

Thank you so much! great!!!

[@yumaheymans680]

super helpful, thx!

[@hoangng16]

Great presentation! However, it would be so much more practical to see things in practical code, for example a multi-agent project.

[@juliocesar1908]

Loved the video, but the link to the resources is not working properly :(

[@LlamaIndex]

Sorry about that! Fixed.

[@anshulbhide]

Great video!

[@fslurrehman]

Can it work just like Google NotebookLM or it's different?