labrijisaad/LLM-RAG
A Dockerized Streamlit app leveraging a RAG LLM with FAISS to offer answers from uploaded markdown files, deployed on GCP Cloud.
This app helps you get answers from your own text documents. You upload markdown files containing information, and then you can ask questions about that content to receive AI-generated answers. It's designed for anyone who needs to quickly find information and synthesize answers from a collection of documents without manually sifting through them.
No commits in the last 6 months.
Use this if you need to quickly extract information and generate answers from a set of internal markdown documents.
Not ideal if your knowledge base consists of non-markdown file types or if you need an on-premise solution that doesn't rely on external LLM APIs.
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21
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2
Language
Jupyter Notebook
License
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Category
Last pushed
Jun 01, 2024
Commits (30d)
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