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Showing 1–24 of 90 for MCP로 RAG Application 구현하기

Docs RAG

Enables AI to query and analyze local documents and Git repositories through a RAG system built with TypeScript, LlamaIndex, and Gemini embeddings.

Inkeep

Enables Claude to search and retrieve relevant documentation through Inkeep's RAG API, returning structured citation data for technical support and…

Shared Knowledge RAG

Enables AI systems to access and retrieve information from multiple vector store backends including HNSWLib and Weaviate, providing a unified interface for…

ArcKnowledge (Custom RAG)

Bridges AI systems to custom knowledge base APIs for retrieval-augmented generation across multiple text and image sources with configurable authentication and…

Spring Application Advisor

Integrates with Spring Application Advisor to provide insights and recommendations for optimizing Spring applications in Cloud Foundry environments.

Minima

Search and retrieve context from local files for RAG.

LlamaIndex Documentation

Provides a RAG-powered query interface to LlamaIndex documentation, delivering detailed responses with code examples using LlamaCloud's managed index service

HR Policy Chatbot

Enables HR departments to provide workplace policy information through a RAG-based chatbot that indexes, retrieves, and generates answers from PDF…

GroundX RAG

Integrates with GroundX to provide document search and ingestion capabilities, enabling domain-specific knowledge retrieval without requiring direct access to…

AWS Knowledge Base

Integrates with AWS Knowledge Bases to retrieve information using Bedrock Agent Runtime, enabling RAG operations with structured metadata for organizational…

brandguide/AI MCP

Agents are taking over execution. When they write copy, generate visuals, or adapt messaging, they need structured brand knowledge — not PDFs and guesswork…

Qdrant Docs Rag

Retrieve and process documentation using vector search to provide context for AI assistants.

PDF Search

Built for Zed to enable semantic searching of PDF documents using a Qdrant vector database and OpenAI embeddings.

Sentry

Connects AI to Sentry error tracking platform for retrieving and analyzing application errors, including stacktraces, error types, and occurrence statistics…

Rollbar

Provides a bridge to Rollbar error tracking platform for monitoring and analyzing application errors, retrieving detailed information, managing projects, and…

Fleur App Launcher

Integrates with the Fleur application to enable direct access to external apps like Gmail, Linear, and Slack without leaving the chat interface through…

Kubernetes Lens

Bridges Claude with the Kubernetes Lens desktop application through Playwright automation, enabling cluster analysis and management via UI interactions and…

Welcome to your Lovable project

It is a web application project generated by Lovable, built with Vite, TypeScript, React, shadcn‑ui, and Tailwind CSS. It is intended for developers who want…

1Panel

Enables server administrators to manage websites, databases, SSL certificates, and applications through 1Panel's server management capabilities without…

Houdini 3D

Bridges Houdini 3D software with external systems through a TCP-based Python addon, enabling real-time geometry creation, material application, lighting…

Frida

Enables dynamic instrumentation of mobile and desktop applications through Frida toolkit, providing capabilities for process management, device enumeration…

Railway

Integrates with Railway.app to enable management of deployments, monitoring of application performance, and automation of DevOps workflows within the Railway…