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reichaves authored Oct 1, 2024
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[![Open in Streamlit](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://entrevista-sites-llama3.streamlit.app/)
[![Open in Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/reichaves/chatbot-websites-llama-3.2-90b-text-preview-Brazil)

Este projeto implementa um sistema de Retrieval-Augmented Generation (RAG) conversacional para entrevistar o conteúdo de URLs, utilizando Streamlit, LangChain e modelos de linguagem de grande escala.
Este projeto implementa um sistema de Retrieval-Augmented Generation (RAG) conversacional para entrevistar o conteúdo de URLs, utilizando Streamlit, LangChain e modelos de linguagem de grande escala. Agradeço às aulas de [Krish C Naik](https://www.youtube.com/user/krishnaik06)

## Funcionalidades

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