abhirupa-tech/RAG-Langchain-App-Using-Llama
Custom Trained LLM application with Llama, and grounding via RAG. This project uses Streamlit to create a simple UX LLM based chatbot with Llama3 & RAG grounding on Stehen Hawking's books
This tool helps you build a chatbot that can answer questions using information from specific documents, even if that information wasn't part of the chatbot's original training. You feed it your own PDF documents and user questions, and it provides accurate, context-aware answers. This is ideal for anyone who needs to quickly find specific information within their own collection of texts.
No commits in the last 6 months.
Use this if you need an AI assistant to extract and summarize information from a defined set of documents, like books or reports, to answer user queries.
Not ideal if you need a general-purpose chatbot that can reason about a very broad range of topics without relying on specific input documents.
Stars
9
Forks
1
Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
Jun 23, 2024
Commits (30d)
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