Chat With Your Docs

Chat With Your Docs is a Python application that allows users to converse with multiple document formats such as PDFs, web pages, and YouTube videos. Users can ask questions using natural language and the application will provide relevant answers based on the document content. The app uses language models to generate accurate answers. Note that the app only responds to questions related to loaded documents.

Demand group:

"The target audience includes researchers, students, teachers and anyone who needs to quickly extract information from documents. This product is suitable for users who need to process and extract information from large amounts of documents, as it can automate the information retrieval and question and answer process, saving time and improving efficiency."

Example of usage scenario:

Researchers use Chat With Your Docs to extract key information from academic papers.

Students use the app to get summaries of study material from textbooks.

Teachers use the app to quickly answer student questions about course material.

Product features:

Supports multiple document formats, including PDF, web pages, and YouTube videos.

Uses natural language processing technology to allow users to ask questions in natural language.

Apply a language model to generate a vector representation of document content for semantic matching.

Generate responses based on user questions and document content.

Support setting different language model providers and models.

Users can choose to add documents for retrieval tasks.

Provides the ability to recall and clear conversation history.

Usage tutorial:

Download and install the required Ollama libraries.

Pull the chat model you will use, such as LLAMA2, MISTRAL and GEMMA.

Create and activate a new Python 3.9 environment.

Clone the repository to your local machine.

Install required dependencies.

Install ffmpeg to process YouTube videos.

Run the main.py file to start the application.

Displays the user interface in the default web browser.

Enter your question into the chat interface.

Depending on the selected chain configuration, ChatBot retrieves the appropriate response.