- GitHub - AIAnytime/Search-Your-PDF-App: Search Your PDF App using Langchain, ChromaDB, Sentence Transformers, and LaMiNi LM Model. This app is completely powered by Open Source Models. No OpenAI key is required.
- Search Your PDF App using Langchain, ChromaDB, Sentence Transformers, and LaMiNi LM Model. This app is completely powered by Open Source Models. No OpenAI key is required. - AIAnytime/Search-Your-...
When developing an AI app integrated with LLM, accessing internal company data is almost essential. Since we won't be providing internal company data for LLM training, this data will be managed in various forms of documents or databases. Let's start by processing data stored in PDF files.
We'll be using the OpenAI API Key, LangChain, and Streamlit. Since we're using Streamlit, the UI code is concise, making it easy to access.
We'll use FAISS as the vector store.
We'll use ChromaDB as the vector store. This seems to be the relevant repository for videos.
There are other things to refer to on the YouTuber's GitHub.
It also provides a good explanation. If given the time, I'd like to organize the explanation content as well.
There are various settings for the UI.
There's a preview feature.
It covers LangChain classes that aren't discussed elsewhere.
The technology stack is a bit different.
There are too many. Even after filtering, there are still many. If I were to recommend just one, I'd suggest looking at this, understanding the code in the repository below, and deleting all other related videos. I'm not going to look at this topic anymore.
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