Qdrant agent skills, page 2

Mem0 memory bridge for AI Girlfriend — search/read/write long-term memories from Qdrant vector DB.

momori777/Artemis

Build retrieval-augmented generation systems: pick a vector database and embedding model, choose retrieval and reranking strategies, and start from a LangGraph pipeline.

wshobson/agents

Guide for setting up and using the AgenticX memory system including Mem0 integration, long-term memory, context management, and memory-enhanced agents.

DemonDamon/AgenticX

Browse and search the OpenConstructionERP cost database: classification tree, SQL and semantic search, autocomplete, certainty badges, and the resource catalog.

datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction

Memory is the cornerstone of intelligent agents. An agent skill from omer-metin/skills-for-antigravity.

omer-metin/skills-for-antigravity

Vector database implementation for AI/ML applications, semantic search, and RAG systems.

ancoleman/ai-design-components

Hunt vector-store / embedding-layer weaknesses in RAG pipelines (OWASP LLM08 Vector and Embedding Weaknesses) — persistent corpus poisoning that survives across sessions and users (distinct from…

elementalsouls/Claude-BugHunter

Security-first SOP for multi-tenant RAG systems. An agent skill from agentsope/SkillAlchemy.

agentsope/SkillAlchemy

Expert in vector databases, embedding strategies, and semantic search implementation.

aiskillstore/marketplace

Provides Qdrant vector database integration patterns with LangChain4j.

giuseppe-trisciuoglio/developer-kit

Vector search engine for production RAG systems. An agent skill from Luciole-Studio/Misaka-Agent.

Luciole-Studio/Misaka-Agent

Build production RAG systems with semantic chunking, incremental indexing, and filtered retrieval.

aiskillstore/marketplace

Deploy, manage, and optimize vector databases for AI applications.

majiayu000/claude-skill-registry

Build GraphRAG retrieval pipelines on Neo4j using the neo4j-graphrag Python package (v1.22.0+).

neo4j-contrib/neo4j-skills

Reindexes KB for semantic search via vector store (Qdrant). An agent skill from softspark/ai-toolkit.

softspark/ai-toolkit

RAG: embeddings, chunking, hybrid search (BM25+vector), reranking, CRAG, multi-hop.

softspark/ai-toolkit

A skill your agent uses when operating a vector store as a data layer — choosing or migrating between Pinecone, Qdrant, Weaviate and pgvector; designing a collection or index (distance metric…

ericrisco/rsc-harness

High-performance vector search engine for production RAG — Rust-powered, horizontal scaling, hybrid dense+sparse search, metadata filtering.

AlexAI-MCP/hermes-CCC

Memory is the cornerstone of intelligent agents. An agent skill from aiskillstore/marketplace.

aiskillstore/marketplace

Implement semantic vector search for construction data. An agent skill from majiayu000/claude-skill-registry.

majiayu000/claude-skill-registry