This is an AI translated post.
Mr. Know-All 2 – August 2023
- Writing language: Korean
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Base country: All countries
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- Information Technology
0000-00-00 00:00:00
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Summarized by durumis AI
- Internal corporate data must be provided for LLM training.
- PDF files can be processed using a technology stack including OpenAI API Key, LangChain, Streamlit, FAISS, and ChromaDB.
- There are many resources available on this topic, but it is a good idea to refer to a well-organized GitHub repository in one place.
When working with llm-integrated AI apps, accessing internal corporate data is almost always a necessity. Internal corporate data will not be provided for llm training. This data will be managed in various formats of documents or databases. Let's start by processing those stored in PDF format.
We will use OpenAI API Key, LangChain, and Streamlit. The use of Streamlit makes the UI code short and easy to access.
FAISS is used as a vector store.
ChromaDB is used as a vector store. This seems to be the repository related to video.
There are other references on the YouTuber's Github.
It also provides a good explanation. I want to organize the explanation if I have time.
There are various settings for the UI.
There is a preview function.
It covers LangChain classes not covered elsewhere.
The technology stack is a bit different.
There are too many. It's still a lot even after filtering. If I recommend one, I would recommend watching this one, understanding the code of the repository below, and deleting all other related videos. Don't watch this topic anymore.
