GitHub / imtej / JioPay_Custo_Service_RAG
This implements a Retrieval-Augmented Generation (RAG) system using Streamlit, LangChain, and Hugging Face for interactive question-answering based on JioPay Business Customer services and all the other information as a knowledge base. The architecture integrates document embedding, retrieval, and generative AI
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PURL: pkg:github/imtej/JioPay_Custo_Service_RAG
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Language: Jupyter Notebook
Size: 689 KB
Dependencies parsed at: Pending
Created at: 2 months ago
Updated at: about 2 months ago
Pushed at: about 2 months ago
Last synced at: about 2 months ago
Topics: embeddings, langchain, llama3-8b, llms, python, rag, retrival, retrival-augmented-generation, similarity-search