{"id":188,"date":"2024-04-30T12:01:35","date_gmt":"2024-04-30T12:01:35","guid":{"rendered":"http:\/\/localhost:8888\/sawberries\/2024\/04\/30\/rag-and-streamlit-chatbot-chat-with-documents-using-llm\/"},"modified":"2024-04-30T12:01:35","modified_gmt":"2024-04-30T12:01:35","slug":"rag-and-streamlit-chatbot-chat-with-documents-using-llm","status":"publish","type":"post","link":"http:\/\/localhost:8888\/sawberries\/2024\/04\/30\/rag-and-streamlit-chatbot-chat-with-documents-using-llm\/","title":{"rendered":"RAG and Streamlit Chatbot: Chat with Documents Using LLM"},"content":{"rendered":"
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Introduction This article aims to create an AI-powered RAG and Streamlit chatbot that can answer users questions based on custom documents. Users can upload documents, and the chatbot can answer questions by referring to those documents. The interface will be generated using Streamlit, and the chatbot will use open-source Large Language Model (LLM) models, making [\u2026]<\/p>\n

The post RAG and Streamlit Chatbot: Chat with Documents Using LLM<\/a> appeared first on Analytics Vidhya<\/a>.<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

Introduction This article aims to create an AI-powered RAG and Streamlit chatbot that can answer users questions based on custom documents. Users can upload documents, and the chatbot can answer questions by referring to those documents. The interface will be generated using Streamlit, and the chatbot will use open-source Large Language Model (LLM) models, making […]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[107,7,17,37,38,108,329,18,116,327,330,20,331,21,332,328,333],"tags":[],"_links":{"self":[{"href":"http:\/\/localhost:8888\/sawberries\/wp-json\/wp\/v2\/posts\/188"}],"collection":[{"href":"http:\/\/localhost:8888\/sawberries\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/localhost:8888\/sawberries\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/localhost:8888\/sawberries\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"http:\/\/localhost:8888\/sawberries\/wp-json\/wp\/v2\/comments?post=188"}],"version-history":[{"count":0,"href":"http:\/\/localhost:8888\/sawberries\/wp-json\/wp\/v2\/posts\/188\/revisions"}],"wp:attachment":[{"href":"http:\/\/localhost:8888\/sawberries\/wp-json\/wp\/v2\/media?parent=188"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/localhost:8888\/sawberries\/wp-json\/wp\/v2\/categories?post=188"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/localhost:8888\/sawberries\/wp-json\/wp\/v2\/tags?post=188"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}