Skills and MCP tagged “vector-search”

bigquery-ai-ml official google skill This skill helps write BigQuery SQL for built-in ML and GenAI tasks. Use it for forecasting, anomaly detection, semantic search, and text analysis. Claude Code Gemini CLI CX Codex 7,033installs mem0 mem0ai skill Guides AI coding agents in adding persistent memory to Python and TypeScript applications using the Mem0 Platform SDK or open-source Memory class. Claude Code CX Codex Cursor +1 2,300installs embedding-strategies Seth Hobson skill This skill helps choose embedding models, tune chunking, and assess quality for semantic search and RAG projects. Claude Code CX Codex Cursor 11,391installs hybrid-search-implementation Seth Hobson skill This skill combines vector and keyword search into one retrieval flow. Use it for RAG systems and search engines when one method misses important matches. Claude Code CX Codex Cursor 10,800installs vector-index-tuning Seth Hobson skill This skill tunes vector indexes for latency, recall, and memory. Use it when adjusting HNSW, choosing quantization, or scaling vector search. Claude Code CX Codex Cursor 10,700installs google-cloud-solution-hybrid-search-alloydb official google skill This skill helps design and validate AlloyDB hybrid search, combining semantic retrieval with keyword search and structured SQL filters. Claude Code Gemini CLI CX Codex 3,300installs ai-engineer Seth Hobson subagent This subagent designs LLM applications, RAG systems, and AI agents. Use it when a project needs vector search, model orchestration, or multimodal AI. Claude Code CX Codex Cursor 7,687installs qdrant-performance-optimization official github skill This skill maps Qdrant performance work across search speed, index building, and memory use. Use it when a deployment needs a focused performance review. GitHub Copilot 61installs