Llama Index Loaders Quick Review

In this video, I will be going over several document loaders from the Llama Index Library. Here are the relevant links referenced in this video:
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- Repos of the examples:
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Other Information:

[BetameDeBono]

This is pretty cool to see. I’m thinking of implementing some calendar features prehaps. I may have to try and build alongside you

[UmSimplesLeigo]

Is there any way to train Chat gpt on my text data and create like a clone? I was thinking about it and found your video, but it wasn't exactly what I was looking for

[simonliu]

Pretty cool. I am curious which env management tool you use.

[chat-jpt]

Now that you have been playing with both langchain and llama, why use one over the other where overlap exists? For instance, it seems like the doc loaders work much more easily in llamaindex than langchain (due to the need to configure unstructured…not hard but tedious)

[equious]

I'm going to play with this for Google Sheets reports, today. 🤔

[exposant]

Thx, May I ask you about the output ? how to output tables based on queries using ascii ( or any other way to generate tables) and also if there are ways to make some text bold for paragraphs ?

[Graphique]

Thanks for response, any tutorial and steps to calibrate when importing external docs ?seems we need to fine tune before working with self documents... ?

[johanbonaparta]

Hi
Is it advisable to export the index to avoid that every time the code is run, OpeanAI does not charge you again for the query information?

[petswolrd]

I'm good with streamlit bro, if you need any help let me know, btw love your work:)

[masteryi]

Thx for your video, i wonder what's the difference between langchain and llamaIndex, I think they are doing pretty much the same thing

[AndyBarbosa]

Is it possible to use Llama index with a local model instead of openAI APIs?