关键词 "RAG orchestration" 的搜索结果, 共 24 条, 只显示前 480 条
"暴躁教授读论文"是一个学术论文阅读伴侣应用程序,旨在通过富有个性的AI助手提高论文阅读效率。它集成了PDF处理、AI翻译、RAG检索、AI问答和语音交互等多种功能,为学术研究者提供一站式的论文阅读解决方案。 主要特性 论文自动处理:导入PDF后自动提取、翻译和结构化论文内容 双语显示:支持中英文对照阅读论文 AI智能问答:与论文内容结合,提供专业的解释和分析 个性化AI教授:AI以"暴
A Python-based Azure CLI assistant that provides natural language processing capabilities for Azure commands, leveraging Azure MCP Server.
This project is a Go implementation of an MCP server that leverages the Todoist REST API v2. It provides tools for interacting with the Todoist API through standardized MCP endpoints.
QuickMCP empowers you to effortlessly build and deploy Model Context Protocol (MCP) servers. By leveraging your OpenAPI or Google Discovery specifications, QuickMCP automates server generation, provid
A free MCP client server that leverages GroqCloud's high-performance inference capabilities and connects to both local and remote MCP servers.
Trying to use mcp servers for setting up local rag
A Model Context Protocol (MCP) server for HAProxy implemented in Go, leveraging HAProxy Runtime API and mcp-go.
Ticketron (tix) is a CLI tool designed to quickly create JIRA issues based on brief user input, leveraging LLMs for detail generation and an MCP server for JIRA interaction.
Java AI (agent) full scenario application development framework (LLM, Function Call, RAG, Embedding, Reranking, Flow, MCP Server, Mcp Client). Compatible with java8 ~ java24.
This MCP Server for ServiceNow is designed to be both generic and extensible. It leverages a modular approach to handle a wide range of ServiceNow use cases, from core ITSM operations to advanced CMDB
A minimal agentic app to interact with OLLAMA models leveraging multiple MCP server tools using BeeAI framework.
Integrate Model Context Protocol (MCP) tools with Microsoft Semantic Kernel to build AI-driven workflows. This C# project connects MCP servers to Semantic Kernel, enabling LLMs to call external tools
Advanced MCP Server Setup with uv, llama-index, ollama, and Cursor IDE
AgentChat 是一个与Agent交流的平台,包含默认Agent,并支持自定义Agent,可以实现多轮问答使Agent帮助用户想实现的功能。该项目技术栈包括LLM、LangChain、Function call、ReAct、MCP、Milvus、ElasticSearch、RAG、FastAPI
A MCP server for calling MCP tools remotely without requiring installation.
Simple RAGFlow MCP. Only useful until the RAGFlow team releases the official MCP server
This MCP server is used to provide Godot documentation to the Godot RAG model.
A Python-based MCP (Model Context Protocol) server powered by FastMCP that leverages Pandoc for flexible document conversion between various formats (Markdown, DOCX, PDF, HTML, etc.), designed for use
All the MCP servers a dev can handle: Very WIP. Here be dragons!
MCP Server Application with RAG
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