AIbase
EN
Explore
Rag Application
R

Rag Application

A demonstration of a RAG application integrated with an MCP server, featuring document retrieval, context-aware prompt generation, and LLM API integration.
Knowledge management and memoryArtificial intelligence chatbots#MCP Integration#Vector Retrieval#Context Generation#LLM Connection.Python
2 points
14

What is an MCP Server Integrated with RAG Application?

An MCP (Model Context Protocol) server integrated with a RAG (Retrieval-Augmented Generation) application is an innovative service that combines advanced natural language processing technology with an efficient vector database to achieve more intelligent and accurate information retrieval and generation.

Main Functions

This service supports the upload and processing of various document formats, including PDF, Word documents, Markdown files, etc., and quickly locates relevant document fragments through vector search technology. Combined with large language models, it provides the ability to generate context-aware answers, significantly improving the quality of Q&A.

Application Scenarios

It is widely used in areas such as enterprise internal knowledge management, customer support systems, and educational auxiliary tools. It helps users quickly obtain the required information, improving work efficiency and decision-making accuracy.

Functional Features

Support for Multiple Document FormatsSupports uploading and processing various common document formats, including PDF, DOCX, MD, etc.
Efficient Vector SearchAdopts advanced vector database technology to achieve fast semantic retrieval and content matching.
Context-Aware GenerationCombined with large language models, it provides the ability to generate information based on context, improving the accuracy of answers.

Advantages and Disadvantages

Usage Guide

Prepare documents: Convert the documents to be processed into supported formats.
Upload documents: Upload the documents to the server through the provided interface.
Configure model parameters: Adjust relevant settings according to requirements, such as search scope, generation length, etc.
Execute queries: Send query requests through the API to obtain results.

Usage Examples

Frequently Asked Questions

Which document formats are supported?
How to optimize search results?
Does it support multiple languages?

Troubleshooting

More Resources

Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
N
Notte Browser
Certified
Notte is an open-source full-stack network AI agent framework that provides browser sessions, automated LLM-driven agents, web page observation and operation, credential management, etc. It aims to transform the Internet into an agent-friendly environment and reduce the cognitive burden of LLMs by describing website structures in natural language.
661
4.5 points
B
Bing Search MCP
An MCP server for integrating Microsoft Bing Search API, supporting web page, news, and image search functions, providing network search capabilities for AI assistants.
Python
229
4 points
A
Apple Notes MCP
A server that provides local Apple Notes database access for the Claude desktop client, supporting reading and searching of note content.
Python
207
4.3 points
C
Cloudflare
Changesets is a build tool for managing versions and releases in multi - package or single - package repositories.
TypeScript
1.5K
5 points
E
Eino
Eino is an LLM application development framework designed specifically for Golang, aiming to simplify the AI application development process through concise, scalable, reliable, and efficient component abstraction and orchestration capabilities. It provides a rich component library, powerful graphical orchestration functions, complete stream processing support, and a highly scalable aspect mechanism, covering the full-cycle toolchain from development to deployment.
Go
3.5K
5 points
M
Modelcontextprotocol
Certified
This project is an implementation of an MCP server integrated with the Sonar API, providing real-time web search capabilities for Claude. It includes guides on system architecture, tool configuration, Docker deployment, and multi-platform integration.
TypeScript
1.1K
5 points
S
Serena
Serena is a powerful open - source coding agent toolkit that can transform LLMs into full - fledged agents that can work directly on codebases. It provides IDE - like semantic code retrieval and editing tools, supports multiple programming languages, and can be integrated with multiple LLMs via the MCP protocol or the Agno framework.
Python
804
5 points
Z
Zhipu Web Search MCP
Python
68
4.5 points
Featured MCP Services
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
141
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
830
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
87
4.3 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.7K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
567
5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
754
4.8 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points
AIbase
Zhiqi Future, Your AI Solution Think Tank
English简体中文繁體中文にほんご
© 2025AIbase