RagChatbot FAQs

Question 1

What is RagChatbot?

Accepted Answer

RagChatbot is a tool that builds a Retrieval-Augmented Generation (RAG) chatbot for answering HR-related questions based on uploaded PDF documents. It uses a localhost MCP server for seamless backend communication.

Question 2

How does RagChatbot use the MCP server?

Accepted Answer

RagChatbot uses the MCP server for function calling, ensuring smooth communication between document indexing, retrieval, and answer generation. This allows for easy extension and replacement of backend tools.

Question 3

What is RAG (Retrieval-Augmented Generation)?

Accepted Answer

RAG combines information retrieval and text generation. RagChatbot first retrieves relevant document chunks based on a user's query and then uses a language model to generate an answer based on the retrieved context.

Question 4

What are the key features of RagChatbot?

Accepted Answer

Key features include MCP Tool Integration, PDF Upload and Parsing, Text Chunking, Similarity Search, a Streamlit interactive interface, and prompt-based answer generation using OpenAI's GPT models.

Question 5

What type of documents can I upload to RagChatbot?

Accepted Answer

You can upload PDF files to RagChatbot. The tool uses PDFPlumberLoader to extract text content from the uploaded PDFs.

RagChatbot

Key Features

Use Cases

RagChatbot

Key Features

Use Cases