Merge pull request #980 from Avaiga/demo_rag

docs/gallery/llm/8_rag_chatbot/index.md

@@ -0,0 +1,24 @@
+---
+title: RAG Chatbot
+category: llm
+data-keywords: vizelement ai
+short-description: A chatbot to ask questions about pdf files using RAG
+img: 8_rag_chatbot/images/rag_screen.png
+---
+This demo showcases Taipy's ability to enable end-users to run inference using LLMs. 
+Here, we use Langchain to query Mistral's LLM model hosted on HuggingFace to ask questions 
+about PDF files using RAG.
+
+[Get it on GitHub](https://github.com/Avaiga/demo-gpt-4o/tree/rag){: .tp-btn .tp-btn--accent target='blank' }
+
+# Understanding the Application
+
+This application uses RAG (Retrieval-Augmented Generation) to answer questions about PDF files.
+The user can upload his PDF files in a specific folder and ask questions about them on
+the Taipy interface. This project uses Langchain to query Mistral's LLM model hosted on HuggingFace, but this can be easily adapted to other models or APIs.
+
+![RAG Screenshot](images/rag_screen.png){width=100% : .tp-image-border }
+
+A tutorial on how to write similar
+LLM inference applications is available 
+[here](../../../tutorials/fundamentals/4_chatbot/index.md).

mkdocs.yml_template

@@ -210,6 +210,7 @@ nav:
       - "Creating an LLM Chatbot" : gallery/llm/5_chatbot/index.md
       - "TalkToTaipy" : gallery/llm/6_talk_to_taipy/index.md
       - "Vision ChatBot": gallery/llm/7_vision_chatbot/index.md
+      - "RAG ChatBot": gallery/llm/8_rag_chatbot/index.md
       - "Sentiment Analysis": gallery/llm/sentiment_analysis/index.md
       - "Tweet Generation": gallery/llm/tweet_generation/index.md
     - "Visualization":