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[GH-ISSUE #5267] Lack of proper guide is "the barrier" for people to adopt Anythingllm #4991

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opened 2026-06-05 14:51:21 -04:00 by yindo · 2 comments
yindo commented 2026-06-05 14:51:21 -04:00
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Originally created by @CreativeCoder0 on GitHub (Mar 25, 2026).
Original GitHub issue: https://github.com/Mintplex-Labs/anything-llm/issues/5267

This is not a simple new tutorial video request. please read it completely to understand what is the pain point of a lot of users.

Let's take my own example, i clicked on the upload icon, right side of the workspace, i can upload files there for rag, one old tutorial also showed that. but what is the difference between "fetch website" below the upload files in Documents tab and Data connectors? if i need to download a github repo to use as rag, which one should i use? even in data connectors tab, there is a link scraper, how it is different from web scraper tool in anythingllm, i was confused. i went to documentation, and it showed "data connectors are currently not supported".

I am sure this is the barrier for new users to adopt anythingllm and integrate with own own workflow. that is why i don't see many people talking about or suggesting anythingllm in reddit and other forums. you must understand, this tool doesn't have that much publicity it needs, no big youtubers, even small youtubers has made proper video, their videos are generally 5-10 minute long videos for just an introduction saying a tool naming "anythingllm" does exists, but does not go in details.

i can understand, new features were introduced over time, features were rearranged in the ui for users benefits. But,

  1. first of all, those videos were kind of new feature announcement or overview kind of video like this is a tool which can do so many things, here is how u can connect to ollama and do these things.
  2. maximum of those videos are outdated.
  3. there is no proper video explaining everything from a to z (founder's explanations using examples, use cases are very good, no doubt about that).

You must create a long video once a year explaining everything, as multiple changes are introduced each year. or may be you can create a series of few videos, explaining things one by one, so videos will not be very long, easy to watch and learn. it will be very useful especially for non-coders, non technical persons who needs local ai, but don't try every new tool in the market, so they can't even guess when which feature is more useful in that situation, we need easy explaining videos.

Originally created by @CreativeCoder0 on GitHub (Mar 25, 2026). Original GitHub issue: https://github.com/Mintplex-Labs/anything-llm/issues/5267 This is not a simple **new tutorial video request**. please read it completely to understand what is the **pain point** of a lot of users. Let's take my own example, i clicked on the upload icon, right side of the workspace, i can upload files there for rag, one old tutorial also showed that. but what is the difference between "fetch website" below the upload files in Documents tab and Data connectors? if i need to download a github repo to use as rag, which one should i use? even in data connectors tab, there is a link scraper, how it is different from web scraper tool in anythingllm, i was confused. i went to documentation, and it showed "data connectors are currently not supported". I am sure this is **the barrier** for new users to adopt anythingllm and integrate with own own workflow. that is why i don't see many people talking about or suggesting anythingllm in reddit and other forums. you must understand, this tool doesn't have that much publicity it needs, no big youtubers, even small youtubers has made proper video, their videos are generally 5-10 minute long videos for just an introduction saying a tool naming "anythingllm" does exists, but does not go in details. i can understand, new features were introduced over time, features were rearranged in the ui for users benefits. But, 1. first of all, those videos were kind of new feature announcement or overview kind of video like this is a tool which can do so many things, here is how u can connect to ollama and do these things. 2. maximum of those videos are outdated. 3. there is no proper video explaining everything from a to z (founder's explanations using examples, use cases are very good, no doubt about that). You must create **a long video once a year** explaining everything, as multiple changes are introduced each year. or may be you can create a series of few videos, explaining things one by one, so videos will not be very long, easy to watch and learn. it will be very useful especially for non-coders, non technical persons who needs local ai, but don't try every new tool in the market, so they can't even guess when which feature **is more useful** in that situation, we need easy explaining videos.
yindo closed this issue 2026-06-05 14:51:22 -04:00
yindo commented 2026-06-05 14:51:22 -04:00
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@timothycarambat commented on GitHub (Mar 25, 2026):

"data connectors are currently not supported".

Where do you see this? Data connectors should very well be supported.

I 100% agree the videos are old, and the product moves so fast now the cadence of these should honestly be once per quarter!!

<!-- gh-comment-id:4128432137 --> @timothycarambat commented on GitHub (Mar 25, 2026): > "data connectors are currently not supported". Where do you see this? Data connectors should very well be supported. I 100% agree the videos are old, and the product moves so fast now the cadence of these should honestly be once per quarter!!
yindo commented 2026-06-05 14:51:22 -04:00
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@bulrush15 commented on GitHub (Mar 26, 2026):

Yes the product is changing fast, that's the nature of the AI industry. I have found this problem with Microsoft products as well, tutorials older than 6-12 months usually have a deal-breaker stumbling block. However I do have a tutorial on how to set up RAG on ALLM here: https://wordsalad26.neocities.org/anything-ragsetup.html

<!-- gh-comment-id:4132821711 --> @bulrush15 commented on GitHub (Mar 26, 2026): Yes the product is changing fast, that's the nature of the AI industry. I have found this problem with Microsoft products as well, tutorials older than 6-12 months usually have a deal-breaker stumbling block. However I do have a tutorial on how to set up RAG on ALLM here: https://wordsalad26.neocities.org/anything-ragsetup.html
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Reference: Mintplex-Labs/anything-llm#4991
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