Rag chatbot with a localhost MCP server

What is RagChatbot?

RagChatbot is a Retrieval-Augmented Generation (RAG) based HR chatbot designed to provide workplace rules and information through a localhost MCP server.

How to use RagChatbot?

To use RagChatbot, upload a PDF file containing workplace rules, and the chatbot will retrieve relevant information to answer your questions in natural language.

Key features of RagChatbot?

• MCP Tool Integration: Ensures smooth communication between document indexing, retrieval, and answer generation.
• PDF Upload and Parsing: Users can upload PDF files which are parsed to extract text content.
• Text Chunking: Extracted text is split into smaller chunks for efficient indexing and retrieval.
• Document Indexing: Chunks are indexed in an in-memory vector store with embeddings generated via OpenAI.
• Similarity Search: Performs a similarity search to retrieve relevant document chunks based on user queries.
• Prompt-Based Answer Generation: Combines user questions with retrieved context to generate answers using GPT-4.
• Interactive Interface: Provides a chat-like interface for user interaction.

Use cases of RagChatbot?

1. Providing HR-related information and rules to employees.
2. Assisting in onboarding processes by answering common questions.
3. Retrieving specific workplace policies from uploaded documents.

FAQ from RagChatbot?

• Can RagChatbot handle all types of documents?

Currently, it supports PDF files for extracting workplace rules and information.

• Is RagChatbot free to use?

Yes! RagChatbot is free to use for everyone.

• How accurate are the answers provided by RagChatbot?

The accuracy depends on the quality of the uploaded documents and the clarity of the user queries.