RAG_ChatBot
Khal Ben
0
AI Chatbot Developer
Hugging Face
LangChain
Python
The RAG_ChatBot provides responses based on data extracted from documents related to risk factors in financial trade. It uses Retrieval-Augmented Generation (RAG) to enhance responses with relevant information from the provided documents.
Features:
* Data-Driven Responses: Answers based on data extracted from provided documents. * Retrieval-Augmented Generation: Combines information retrieval with generation for accurate and relevant responses. * Interactive Interface: Built with Streamlit for a user-friendly experience.Demonstration:
The RAG-chatbot is thinking
Negative prompt (test out of context request)
Response based on knoweldge in documents
Note: This project is for a client who contacted me on LinkedIn.
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Chatbot based on private client data stored in documents. (empowered by Mixtral7*8b genAI LLM)
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AI Chatbot Developer
Hugging Face
LangChain
Python
Khal Ben
AI Innovator: Data-Driven Solutions Expert
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