qspidy / pdfchat

Local PDF Chat Application with Mistral 7B LLM, Langchain, Ollama, and Streamlit

Local PDF Chat Application with Mistral 7B LLM, Langchain, Ollama, and Streamlit

A PDF chatbot is a chatbot that can answer questions about a PDF file. It can do this by using a large language model (LLM) to understand the user's query and then searching the PDF file for the relevant information. The application uses the concept of Retrieval-Augmented Generation (RAG) to generate responses in the context of a particular document. RAG applications augment their generation capabilities by retrieving relevant information from an external knowledge base. This allows RAG applications to produce more informative and comprehensive responses to a wider range of prompts and questions.

For detailed explaination of how this works follow my Medium Artcle

Running Mistral 7B Locally using Ollama 🦙

Ollama allows you to run open-source large language models, such as Llama 2, locally. It bundles model weights, configuration, and data into a single package, defined by a Modelfile, optimizing setup and configuration details, including GPU usage.

For Mac and Linux Users: Ollama effortlessly integrates with Mac and Linux systems, offering a user-friendly installation process. Mac and Linux users can swiftly set up Ollama to access its rich features for local language model usage. Detailed instructions can be found here: Ollama GitHub Repository for Mac and Linux.

For Windows Users: For Windows users, the process involves a few additional steps, ensuring a smooth Ollama experience:

1. Install WSL 2: To enable WSL 2, kindly refer to the official Microsoft documentation for comprehensive installation instructions: Install WSL 2.

2. Install Docker: Docker for Windows is a crucial component. Installation guidance is provided in the official Docker documentation: Install Docker for Windows.

3. Utilize Docker Image: Windows users can access Ollama by using the Docker image provided here: Ollama Docker Image.

Now you can easily use Mistral in the command line (CMD) using the following command:

docker exec -it ollama ollama run mistral

Usage

NOTE: First install Ollama in docker and run mistral as stated above

1. Clone this repository:

git clone https://github.com/SonicWarrior1/pdfchat.git

2. Install all the depenedencies :

pip install -r requirements.txt

3. Open terminal and run the following command:

streamlit run app.py

Application Preview :