Welcome to the era where chatting with documents is as easy as pie! The ChatWithYourDocs Chat App enables seamless communication with various document formats like PDFs, web pages, and even YouTube videos. In this guide, we’ll dive into how to set up and use this innovative application. Let’s get started!

Introduction

The ChatWithYourDocs Chat App is a Python-based application designed to let you interact with different document formats through natural language queries. By utilizing advanced language models, this app generates accurate answers based on the contents of your loaded documents. Just remember, the application only tackles questions specifically related to the documents you’ve loaded.

How It Works

The ChatWithYourDocs operates in a straightforward yet comprehensive manner:

• Doc Loading: The app reads different document types and extracts their text content.
• Text Chunking: The extracted text is divided into smaller, manageable chunks for processing.
• Language Model: It creates vector representations (embeddings) of the text chunks using a language model.
• Similarity Matching: Questions you ask are compared with the chunks to identify the most relevant responses.
• Response Generation: The selected chunks are processed to generate an informative answer from the language model.

Dependency and Installation

Ready to set it up? Follow these steps:

1. Download the Ollama library:

   curl https://ollama.ai/install.sh | sh

2. Pull in the chat models we will use—specifically LLAMA2, MISTRAL, and GEMMA:

   ollama pull llama2

   ollama pull mistral

   ollama pull gemma

3. Create a new environment with Python 3.9 and activate it using conda:

   conda create -n cwd python=3.9

   conda activate cwd

4. Clone the repository to your local machine:

   git clone https://github.com/jorge-armando-navarro-flores/chat_with_your_docs.git

   cd chat_with_your_docs

5. Install the required dependencies:

   pip install -r requirements.txt

6. Install ffmpeg for processing YouTube videos:

   sudo apt-get install ffmpeg

Usage

To start chatting with your docs, follow these simple steps:

1. Run the main.py file using the Streamlit CLI:

   python3 main.py

2. The application will launch in your default web browser, showing the user interface!

Understanding the Architecture

Imagine the app’s architecture as a well-organized filing cabinet with distinct drawers, each serving a particular purpose:

• LLM: This component serves as a blueprint for various language model implementations.
• Docs: Manages the process of loading documents from multiple sources.
• VectorStore: Transforms documents into vector representations to facilitate quick retrieval.
• Chain: Represents the processing pipeline, which can either be simple for straightforward queries or complex for document retrieval.
• ChatBot: Engages with users, keeping track of conversation history and fetching responses.
• ChatBotController: The user interface that connects everything, allowing for model selections and document input.

Troubleshooting

If you face any issues during installation or usage, here are some troubleshooting tips:

• Ensure all dependencies are correctly installed. Double-check the requirements.txt file for any missing packages.
• Make sure your Python environment is activated when running the commands.
• If the application does not launch, confirm that all the previous steps were followed accurately and that no errors occurred during execution.

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Conclusion

The ChatWithYourDocs application provides a revolutionary way of interacting with your documents, making information retrieval a breeze. By following the outlined steps, you can easily set up and harness its powerful capabilities.

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.