Qdrant · For data scientists

Set up, index, and manage SocratiCode codebase indexing. An agent skill from giancarloerra/SocratiCode.

giancarloerra/SocratiCode

Explore and understand codebases using SocratiCode semantic search, dependency graphs, and context artifacts.

giancarloerra/SocratiCode

Explains how to run Qdrant, a Rust vector database, for RAG and semantic search, covering collections, points, distance metrics and filtered or batched queries.

Orchestra-Research/AI-Research-SKILLs

Guides Qdrant search strategy selection. An agent skill from qdrant/skills.

qdrant/skills

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

Diagnoses and guides Qdrant horizontal scaling decisions. An agent skill from qdrant/skills.

qdrant/skills

Diagnoses and fixes slow Qdrant indexing and data ingestion.

qdrant/skills

Diagnoses and reduces Qdrant memory usage. An agent skill from qdrant/skills.

qdrant/skills

Guides Qdrant query latency optimization. An agent skill from qdrant/skills.

qdrant/skills

Designs retrieval-augmented generation systems: document chunking, embeddings, vector store setup, hybrid search, reranking and retrieval evaluation, with checks at each step.

Jeffallan/claude-skills

Guides embedding model migration in Qdrant without downtime.

qdrant/skills

Guides Qdrant data volume scaling decisions. An agent skill from qdrant/skills.

qdrant/skills

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

Guides Qdrant query throughput (QPS) scaling. An agent skill from qdrant/skills.

qdrant/skills

Diagnoses and fixes slow Qdrant search. An agent skill from qdrant/skills.

qdrant/skills

Guides sliding time window scaling in Qdrant. An agent skill from qdrant/skills.

qdrant/skills

Guides Qdrant vertical scaling decisions. An agent skill from qdrant/skills.

qdrant/skills

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

ancoleman/ai-design-components

Different techniques to optimize the performance of Qdrant, including indexing strategies, query optimization, and hardware considerations.

github/awesome-copilot

Guides Qdrant scaling decisions. An agent skill from github/awesome-copilot.

github/awesome-copilot

Diagnoses Qdrant search quality issues. An agent skill from github/awesome-copilot.

github/awesome-copilot

Guides Qdrant search strategy selection. An agent skill from github/awesome-copilot.

github/awesome-copilot

Guides Qdrant query volume scaling. An agent skill from qdrant/skills.

qdrant/skills

Diagnoses and improves Qdrant search relevance. An agent skill from github/awesome-copilot.

github/awesome-copilot

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

Luciole-Studio/Misaka-Agent

Expanding the candidate pool via relevance feedback, as an alternative to reranking when a dense retriever is too weak.

qdrant/skills

Guides building on Qdrant Edge, the embedded in-process shard.

qdrant/skills

Explains hybrid search in Qdrant. An agent skill from qdrant/skills.

qdrant/skills

Fusing scores from multiple searches into a single ranked result (RRF, DBSF, custom fusion).

qdrant/skills

Constructing prefetch queries for hybrid retrieval, including sparse/dense and multi-field setups, and choosing a sparse embedding model.

qdrant/skills

Guides tenant isolation architecture in Qdrant for multi-tenant or multi-user applications.

qdrant/skills

Diagnoses Qdrant search quality issues. An agent skill from qdrant/skills.

qdrant/skills

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

softspark/ai-toolkit

Guides Qdrant scaling decisions. An agent skill from qdrant/skills.

qdrant/skills

Diagnoses and improves Qdrant search relevance. An agent skill from qdrant/skills.

qdrant/skills

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

Provides Qdrant vector database integration patterns with LangChain4j.

giuseppe-trisciuoglio/developer-kit

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

aiskillstore/marketplace

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

AlexAI-MCP/hermes-CCC

Navigation hub linking sub-skills for proactive Qdrant tuning: search speed, indexing performance, and memory usage optimization.

qdrant/skills