BAKKALIAYOUB/CHATBOT-RAG
This project consist on ChatBot implementation with two approach: Retrival-Augmented Generation (RAG) and Fine-Tuning
This project helps organizations create a custom chatbot to answer specific questions based on their own documents. You feed it your organization's content, and it generates accurate, context-aware responses to user queries. This is ideal for internal support teams, customer service departments, or educational institutions that need to provide quick, reliable information to employees or students.
No commits in the last 6 months.
Use this if you need a chatbot that can provide accurate answers directly from your specific knowledge base, rather than generating generic responses.
Not ideal if you need a general-purpose conversational AI for broad topics not covered by your organization's specific documents.
Stars
7
Forks
3
Language
Jupyter Notebook
License
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Category
Last pushed
Jun 05, 2024
Commits (30d)
0
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