add rag with docling

Author: Sumanth077

rag_with_docling/.gitignore

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+.web
+assets/external/
+*.db
+*.py[cod]
+__pycache__/

rag_with_docling/LICENSE

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+MIT License
+
+Copyright (c) 2023 Pynecone, Inc.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

rag_with_docling/README.md

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+# Chat with Excel Files using Docling and   
+
+Chat with Excel is an LLM app that utilizes **Retrieval Augmented Generation (RAG)** to enable meaningful interaction with Excel files. Powered by **DeepSeek-r1** running locally and [Docling Library](https://github.com/DS4SD/docling), the app provides accurate answers to your questions based on the content of the uploaded Excel file.  
+
+---
+
+## Features  
+- **Upload Excel Documents:** Easily upload any Excel document to start querying.  
+- **Interactive Q&A:** Ask questions about the content of the uploaded Excel.  
+- **Accurate Answers:** Get precise responses using RAG and the DeepSeek-r1 model.  
+
+---
+
+## Getting Started  
+
+### 1. Clone the Repository  
+Clone the GitHub repository to your local machine:  
+```bash  
+git clone https://github.com/reflex-dev/reflex-llm-examples.git  
+cd reflex-llm-examples/rag_with_docling
+```  
+
+### 2. Install Dependencies  
+Install the required dependencies:  
+```bash  
+pip install -r requirements.txt  
+```  
+
+### 3. Pull and Run DeepSeek-r1 Using Ollama  
+Download and set up the DeepSeek-r1 model locally:  
+```bash  
+ollama pull deepseek-r1:1.5b
+```  
+
+### 4. Run the Reflex App  
+Run the application to start chatting with your Excel File:  
+```bash  
+reflex run  
+```