https://github.com/ranfysvalle02/chat-with-docs-mdb
This project is a web-based AI Chatbot with a strong focus on privacy, allowing users to interact with their uploaded PDF/Text files. These user-uploaded files are handled and stored securely as collections in local MongoDB atlas using Docker.
https://github.com/ranfysvalle02/chat-with-docs-mdb
Last synced: 2 months ago
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This project is a web-based AI Chatbot with a strong focus on privacy, allowing users to interact with their uploaded PDF/Text files. These user-uploaded files are handled and stored securely as collections in local MongoDB atlas using Docker.
- Host: GitHub
- URL: https://github.com/ranfysvalle02/chat-with-docs-mdb
- Owner: ranfysvalle02
- License: mit
- Created: 2024-11-02T20:20:19.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2024-11-07T11:43:08.000Z (11 months ago)
- Last Synced: 2025-06-13T12:05:49.068Z (4 months ago)
- Language: JavaScript
- Homepage:
- Size: 5.23 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Chat-with-Collection-of-Notes | Powered by MongoDB
_Inspired by https://github.com/fivestarspicy/chat-with-notes_
Chat-with-Notes is a simple web application built with Flask that allows users to upload text files, display their content, and interact with an AI chatbot to discuss the content. The application uses a locally running Ollama Llama 3.2 model for AI responses, ensuring privacy and data security.
# MongoDB Atlas
Build Collections of notes that you can chat with, all powered by MongoDB Atlas Vector Search.
## Features
- Chunk Management (View/Edit/Delete)
- Chat Chunk Control (How many chunks to use)
- Ingest Chunk Size Control (How big should the chunks be @ ingest)
- Upload and display files
- Multiple File Formats Supported (PDF, .txt, .md, .html, etc)
- Chat with an AI about the uploaded content
- Privacy-focused: all processing happens locally - NOTHING LEAVES YOUR DEVICE!
- Ability to upload new files mid-conversation
- Clear chat history or all data as needed
## Prerequisites
- Python 3.x
- pip (Python package installer)
- Git
- Ollama with Llama 3.2 model running locally
## Installation
1. **Clone the Repository**
```
git clone git@github.com:ranfysvalle02/chat-with-docs-mdb.git
cd chat-with-docs-mdb
```
2. **Create and Activate Virtual Environment**
```
python3 -m venv chat-with-notes-mdb-env
source chat-with-notes-mdb-env/bin/activate # On Windows, use `chat-with-notes-mdb-env\Scripts\activate`
```
3. **Install Dependencies**
```
pip3 install -r requirements.txt
```
4. **Set Up and Run Ollama Llama 3.2 Model**
Make sure you have the Ollama Llama 3.2 model running locally. Follow the instructions on [Ollama's website](https://ollama.ai/) to set it up.
Start the Ollama Llama 3.1 model:
```
ollama run llama3.2
```
## Setting Up a Local Atlas Environment
1. **Pull the Docker Image:**
* **Latest Version:**
```bash
docker pull mongodb/mongodb-atlas-local
```
2. **Run the Database:**
```bash
docker run -p 27017:27017 mongodb/mongodb-atlas-local
```
This command runs the Docker image, exposing port 27017 on your machine for connecting to the database.
## Running the Application
1. **Start the Flask Application**
```
python3 app.py
```
2. **Access the Application**
Open your web browser and navigate to `http://127.0.0.1:5000/` or `http://:5000/` to access the application from another device on the same network.
**PROMPT**
**CHAT**
**CHUNK SIZE CONTROL @ INGEST**
**CHUNK VIEW @ CHAT**
**CHUNK MANAGEMENT**
## Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
## License
This project is licensed under the MIT License.