RAG Demo FAQs

Question 1

What is RAG Demo?

Accepted Answer

RAG Demo is a Retrieval-Augmented Generation application that integrates with MCP server, enabling you to retrieve documents, generate context-aware prompts, and leverage LLM APIs for advanced data interaction.

Question 2

What are the key features of RAG Demo?

Accepted Answer

Key features include MCP server integration, document retrieval using vector search with ChromaDB, context-aware prompt generation, and integration with LLM APIs.

Question 3

What is the purpose of MCP server integration?

Accepted Answer

The MCP server integration allows the RAG application to connect and interact with the MCP (Machine Control Protocol) server, enabling data exchange and integration with other systems.

Question 4

What is the project structure of RAG Demo?

Accepted Answer

The project is organized into modules for document retrieval (app/retrieval.py), context management (app/context.py), LLM API integration (app/llm_client.py), and prompt construction (app/prompt_builder.py).

Question 5

How does RAG Demo use ChromaDB?

Accepted Answer

RAG Demo utilizes ChromaDB to perform vector search on documents, allowing for efficient retrieval of relevant information based on semantic similarity.

RAG Demo

Acerca de

Características Principales

Casos de Uso