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找到 102 个相关结果 / 数据库与 SQL
研究学习 / 检索整理
microsoft-docs
microsoft-docs
查询 Microsoft 官方文档,以查找跨 Azure、.NET、Agent Framework、Aspire、VS Code、GitHub 等平台的概念、教程和代码示例……
研究学习 / 检索整理
rag-implementation
rag-implementation
Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI,…
研究学习 / 检索整理
hybrid-search-implementation
hybrid-search-implementation
Combine vector and keyword search for improved retrieval. Use when implementing RAG systems, building search engines, or when neither approach alone provides…
研究学习 / 检索整理
相似性搜索模式
similarity-search-patterns
使用向量数据库实现高效的相似性搜索。适用于构建语义搜索、实现最近邻查询或优化检索……
研究学习 / 检索整理
building-ai-agent-on-cloudflare
building-ai-agent-on-cloudflare
Builds AI agents on Cloudflare using the Agents SDK with state management, real-time WebSockets, scheduled tasks, tool integration, and chat capabilities. Generates production-ready agent code deployed to Workers. Use when: user wants to "build an agent", "AI agent", "chat agent", "stateful agent", mentions "Agents SDK", needs "real-time AI", "WebSocket AI", or asks about agent "state management", "scheduled tasks", or "tool calling". Biases towards retrieval from Cloudflare docs over pre-trained knowledge.
研究学习 / 检索整理
building-mcp-server-on-cloudflare
building-mcp-server-on-cloudflare
Builds remote MCP (Model Context Protocol) servers on Cloudflare Workers with tools, OAuth authentication, and production deployment. Generates server code, configures auth providers, and deploys to Workers. Use when: user wants to "build MCP server", "create MCP tools", "remote MCP", "deploy MCP", add "OAuth to MCP", or mentions Model Context Protocol on Cloudflare. Also triggers on "MCP authentication" or "MCP deployment". Biases towards retrieval from Cloudflare docs over pre-trained knowledge.
研究学习 / 检索整理
redis-development
redis-development
Redis performance optimization and best practices. Use this skill when working with Redis data structures, Redis Query Engine (RQE), vector search with…
研究学习 / 检索整理
tavily-dynamic-search
tavily-dynamic-search
程序化网页搜索,支持上下文隔离。当需要搜索网页、筛选结果并提取特定信息时使用此技能,无需让原始 HTML 和样板内容污染上下文窗口。这是网页研究的默认技能。由"搜索"、"查找"、"查询"、"研究"、"最新进展"或任何需要当前网络信息的查询触发。当用户要求"搜索并筛选"、"找到重要部分"或"提取关键细节"时同样适用——即任何需要精选、无噪音内容的场景。
研究学习 / 检索整理
rag-architect
rag-architect
Designs and implements production-grade RAG systems by chunking documents, generating embeddings, configuring vector stores, building hybrid search pipelines,…
研究学习 / 检索整理
学术搜索
academic-search
搜索和分析学术文献。查找论文,理解研究方法,并为研究项目综合学术成果。
研究学习 / 检索整理
学术写作
academic-writing
学术写作、研究方法与学术交流工作流。适用于撰写论文、文献综述、项目申请书、开展……
研究学习 / 检索整理
知识运营
knowledge-ops
跨多个存储层(本地文件、MCP memory、向量存储、Git 仓库)的知识库管理、数据摄取、同步与检索。当用户…时使用
研究学习 / 检索整理
openai-docs-skill
openai-docs-skill
Query the OpenAI developer documentation via the OpenAI Docs MCP server using CLI (curl/jq). Use whenever a task involves the OpenAI API (Responses, Chat…
研究学习 / 检索整理
Wiki 查询
wiki-query
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研究学习 / 检索整理
arxiv-search
arxiv-search
Search arXiv physics, math, and computer science preprints using natural language queries. Powered by Valyu semantic search.
研究学习 / 检索整理
langchain4j-vector-stores-configuration
langchain4j-vector-stores-configuration
Provides configuration patterns for LangChain4J vector stores in RAG applications. Use when building semantic search, integrating vector databases…
研究学习 / 检索整理
qdrant
qdrant
Provides Qdrant vector database integration patterns with LangChain4j. Handles embedding storage, similarity search, and vector management for Java…
研究学习 / 检索整理
code-review-graph
code-review-graph
Build a persistent knowledge graph of your codebase so Claude reads only what matters — up to 49x fewer tokens on coding tasks.
研究学习 / 检索整理
sf-datacloud-harmonize
sf-datacloud-harmonize
Salesforce Data Cloud Harmonize phase. TRIGGER when: user works with DMOs, mappings, relationships, identity resolution, unified profiles, data graphs, or universal IDs. DO NOT TRIGGER when: the task is only about streams/DLOs (use sf-datacloud-prepare), segments/insights (use sf-datacloud-segment), retrieval/search (use sf-datacloud-retrieve), or STDM/session tracing (use sf-ai-agentforce-observability).
研究学习 / 检索整理
qdrant-vector-search
qdrant-vector-search
High-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems requiring fast nearest neighbor search,…
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