MCP servers and skills: search, filter by where they run, and compare.
Discovers requirements and generates architectural, design, and deployment guidance for dynamic hybrid search systems by combining semantic search and keyword search. Optimized for AlloyDB hybrid sear
OfficialSkillApache-2.0★ 21k in collectionNo key
Leverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics. Use when you need to write SQL queries that perform time-series forecasting, predict values, detect o
OfficialSkillApache-2.0★ 21k in collectionNo key
Agent skills for Qdrant vector search: scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage across Python, TypeScript, Rust, Go,
OfficialSkillApache-2.0★ 260No key
An official Qdrant Model Context Protocol (MCP) server implementation
OfficialPythonApache-2.0★ 1.6kNo key
A Model Context Protocol (MCP) server implementation that provides database capabilities for Chroma
OfficialPythonApache-2.0★ 600No key
Rust graph-vector database: OpenCypher (99.9% of evaluated TCK scenarios pass), vector search, graph algorithms, RESP + HTTP. LDBC SNB Interactive and BI complete; 1B edges on one machine.
SkillApache-2.0★ 184No key
Expanding the candidate pool via relevance feedback, as an alternative to reranking when a dense retriever is too weak. Use when someone asks about 'Qdrant's Relevance Feedback API', 'improving dense
OfficialSkillApache-2.0★ 256 in collectionNo key
Python toolkit for building graph-enhanced GenAI applications
OfficialSkillApache-2.0★ 449No key
Use the official MongoDB Skills with your favorite coding agent to build faster.
OfficialSkillApache-2.0★ 190No key
Guides Qdrant search strategy selection. Use when someone asks 'should I use hybrid search?', 'how to rerank?', 'results are not relevant', 'I don't get needed results from my dataset but they're ther
OfficialSkillApache-2.0★ 256 in collectionNo key
Constructing prefetch queries for hybrid retrieval, including sparse/dense and multi-field setups, and choosing a sparse embedding model. Use when someone asks 'dense and sparse in one search?', 'how
OfficialSkillApache-2.0★ 256 in collectionNo key
A bio-inspired cognitive memory engine — a new paradigm for Graph RAG.
PythonApache-2.0★ 4.5kNo key
Local-first search across your workspace, built for humans and AI agents.
Node.jsApache-2.0★ 4.1kNo key
Diagnoses and improves Qdrant search relevance. Use when someone reports 'search results are bad', 'wrong results', 'low precision', 'low recall', 'irrelevant matches', 'missing expected results', or
OfficialSkillApache-2.0★ 256 in collectionNo key
Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.
PythonApache-2.0★ 2.0kNo key
Python, LlamaIndex, LangChain, 15 Property Graph, 4 RDF , 10 Vector, OpenSearch, Elasticsearch DBs. 14 data sources, 10 auto sync: Alfresco, Nuxeo, etc. KG auto-building, Ontologies, LLMs, Docling, Ll
SkillApache-2.0★ 193No key
Diagnose, troubleshoot, and advise on any Qdrant deployment by loading the latest official Qdrant skills live from skills.qdrant.tech. Use this whenever someone raises a Qdrant problem or question — s
OfficialSkillApache-2.0★ 256 in collectionNo key
Official AI Agent skills for building with Zvec vector database
SkillApache-2.0★ 21No key
ApeRAG: Production-ready GraphRAG with multi-modal indexing, AI agents, MCP support, and scalable K8s deployment
SkillApache-2.0★ 1.3kNo key
TiDB AI SDK: Unified Multi-Modal Data Platform for AI Apps & Agents
PythonApache-2.0★ 33No key
Your Cheat Sheet for AI Engineering Interview – Questions and Answers.
SkillApache-2.0★ 3.5kNo key
Access the latest AI models like ChatGPT, Fable, Deepseek, Diffusion, Hugging face, and beyond through a unified prompt layer and performance evaluation
Node.jsApache-2.0★ 275No key
AI-friendly semantic code search engine for large codebases. Combines ripgrep speed with tree-sitter AST parsing. Powers AI coding assistants with precise, context-aware code understanding.
SkillApache-2.0★ 728No key
Who stands behind it
