This project is a chatbot application that utilizes Langchain and Ollama libraries to manage and process user queries using a large language model (LLM). The application uses a knowledge base created from PDF documents embedded into a vector database, allowing for semantic search and context-based question answering.
Key features include:
- Vector Database: The application uses Chroma to create a vector database from PDF documents, enabling efficient semantic search.
- Context-Aware Question Answering: The chatbot can respond to user queries based on the context provided by the embedded documents.
- Feedback System: Users can provide feedback on responses as either "Good" or "Bad" to improve the chatbot's performance.
- PDF Document Management: The application allows users to upload, delete, and manage PDF documents within the vector database.
Instructions on how to install and set up your project:
- Clone the repository:
git clone https://github.com/joaommata/Project2024
- Change into the directory:
cd yourrepository - Install dependencies:
I don't know how you should do it, yet hahahah
In order to initialize the chatbot in a local host run the following command :
# Example command to run your project
chainlit run scripts\appRAG.py- João Mata