How to Implement RAG locally using LM Studio and AnythingLLM

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Fahd Mirza

Fahd Mirza

Күн бұрын

This video shows a step-by-step process to locally implement RAG Pipeline with LM Studio and AnythingLLM with local model offline and for free.
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Пікірлер: 39
@bomsbravo
@bomsbravo 4 ай бұрын
You are my favorite KZbin! This is amazing. I got to know about the LM studio through you and now I am going to try this out. I was trying to RAG llama3 but I ran into a lot of errors. But I think as this is a simpler method, I would be finally able to chat with my pdfs
@fahdmirza
@fahdmirza 4 ай бұрын
Yay! Thank you!
@publicsectordirect982
@publicsectordirect982 4 ай бұрын
Another useful and informative video thank you
@fahdmirza
@fahdmirza 4 ай бұрын
cheers, thanks
@PushpendraKumar-it4wf
@PushpendraKumar-it4wf Ай бұрын
Getting error while uploading a pdf or other file...any remedy
@FrankSchwarzfree
@FrankSchwarzfree 3 ай бұрын
Great video TY!
@fahdmirza
@fahdmirza 3 ай бұрын
You're very welcome! . Please also subscribe if you haven't already, thanks.
@Alex29196
@Alex29196 4 ай бұрын
In my opinion, the latest release of Msty is much more functional and has a better UI. AnythingLLM advantage is that connects to LMStudio.
@maximt1401
@maximt1401 4 ай бұрын
I have a large json file I would like to extract insights from. What is going to be the best way to do this ?... Msty + Which LLM ?
@fahdmirza
@fahdmirza 4 ай бұрын
I have also covered it today. thanks
@frosti7
@frosti7 Ай бұрын
Is there a way to have Vision as well ? that would be amazing!
@fahdmirza
@fahdmirza 29 күн бұрын
would need to check when time permits.
@blazar8565
@blazar8565 Ай бұрын
Hi, Thanks for the tutorial. What did you choose under setting: Chat.... and Agent:... LM Studio or Llama?
@fahdmirza
@fahdmirza Ай бұрын
its been sometime I did that would have to revisit this
@blazar8565
@blazar8565 Ай бұрын
@@fahdmirza I ask the creator. He said to use Ollama.
@dinamohamed13600
@dinamohamed13600 2 ай бұрын
Thank you , it's exactly what I was searching for. I have a question, Is there a local way to make my model search and use data inside a SQL database ?
@NextLevelSpaceExplorer
@NextLevelSpaceExplorer 2 ай бұрын
Chat2DB
@SolidBuildersInc
@SolidBuildersInc 4 ай бұрын
Very nice solution for RAG and using a local model. I was attempting to do this with Streamlit but this appears to be very clean approach. How can we use Colab to point to a public URL with Localtunnel. I seem to have a challenge in getting that working ? Thanks for Sharing
@fahdmirza
@fahdmirza 4 ай бұрын
thanks
@sadekf-l9u
@sadekf-l9u 4 ай бұрын
think you are AnythingLLM IS safe?
@fahdmirza
@fahdmirza 4 ай бұрын
sorry you would need to do your own due diligence.
@JohnPamplin
@JohnPamplin 3 ай бұрын
I'm trying to hook AnythingLLM into a Slack chatbot, because you can use multiple models for docs and websites (even Google search, I think). While LM Studio has a server port, I don't think AnythingLLM does, does it?
@fahdmirza
@fahdmirza 3 ай бұрын
would need to check
@dennisg967
@dennisg967 2 ай бұрын
Thanks for the video. Exactly what I was looking for. Question: can we still use lmstudio interface for to chat with a model after we added new content to it or do we need to exclusively use anythingllm? In other words, does lmstudio see the added content, or does only anythingllm see it? Thanks again!!!!
@fahdmirza
@fahdmirza 2 ай бұрын
once you've added new content to a model using AnythingLLM, you can still use the LMS studio interface to chat with the model. The new content should be visible and accessible through both interfaces. LMS studio and AnythingLLM are designed to work together, so changes made to the model through AnythingLLM should be reflected in the LMS studio interface as well. However, it's possible that there might be some delay or caching issues, so if you don't see the updates immediately, try refreshing the LMS studio page or checking the model's configuration.
@dennisg967
@dennisg967 2 ай бұрын
@@fahdmirza , thanks for the info. I have watched a few more of your videos. They are really helpful. Thank you for making them!!!!
@skillsandhonor4640
@skillsandhonor4640 4 ай бұрын
thank you
@fahdmirza
@fahdmirza 4 ай бұрын
You're welcome
@jesustejerinarivera4627
@jesustejerinarivera4627 2 ай бұрын
but lm studio rag workspace?
@bhawanirathore3105
@bhawanirathore3105 4 ай бұрын
Sir nice vedio , can u pls tell me sir what are the benchmarks to calculate LLM model performance and compare with other LLMs in term of performance and privacy
@fahdmirza
@fahdmirza 4 ай бұрын
I have done few videos on benchmarks, plz search the channel.
@longboardfella5306
@longboardfella5306 4 ай бұрын
It's been reported that AnythingLLM has a critical security flaw. Just fyi
@fahdmirza
@fahdmirza 4 ай бұрын
thanks for info. could you please also give link to the source of this info?
@longboardfella5306
@longboardfella5306 4 ай бұрын
@@fahdmirza It was a Medium report titled: A Critical Vulnerability at AnythingLLM - Understanding and Mitigating CVE-2024-0765
@fahdmirza
@fahdmirza 4 ай бұрын
@@longboardfella5306 Thanks, thats very helpful. github.com/advisories/GHSA-f7cx-hq8m-95w6
@publicsectordirect982
@publicsectordirect982 4 ай бұрын
Thanks for sharing 👍
@shatfield
@shatfield 3 ай бұрын
Hey there, this vulnerability was actually patched months ago and the Medium report was a report showing how the vulnerability was fixed :)
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