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Qdrant · Embeddings

16 skills found.
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1.Codebase Management

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

giancarloerra/SocratiCode3.3k1 repo~1.8kAutomated safety check: PassAGPL-3.0today
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2.Codebase Exploration

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

giancarloerra/SocratiCode3.3k1 repo~1.5kAutomated safety check: PassAGPL-3.0today
3
3.RAG Implementation

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

wshobson/agents40k9 repos~1.1kAutomated safety check: PassMIT6 days ago
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4.RAG Architect

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

Jeffallan/claude-skills12k—~2kAutomated safety check: PassMIT8 days ago
5
5.Qdrant Model MigrationOfficial

Guides embedding model migration in Qdrant without downtime.

qdrant/skills2542 repos~2.3kAutomated safety check: PassApache-2.02 days ago
6
6.Agent Memory Systems

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

omer-metin/skills-for-antigravity163—~731Automated safety check: PassApache-2.08 mo ago
7
7.Hunt RAG Vector

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-BugHunter4.8k—~2.6kAutomated safety check: PassMITyesterday
8
8.Qdrant Search Quality DiagnosisOfficial

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

github/awesome-copilot40k1 repo~928Automated safety check: PassMIT2 days ago
9
9.Qdrant Search QualityOfficial

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

github/awesome-copilot40k1 repo~336Automated safety check: PassMIT2 days ago
10
10.Vector Database Engineer

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

aiskillstore/marketplace4337 repos~563Automated safety check: PassNo licenceyesterday
11
11.Qdrant Hybrid Search PrefetchesOfficial

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

qdrant/skills254—~2.4kAutomated safety check: PassApache-2.02 days ago
12
12.Qdrant Search Quality DiagnosisOfficial

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

qdrant/skills254—~2.3kAutomated safety check: PassApache-2.02 days ago
13
13.Index

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

softspark/ai-toolkit179—~840Automated safety check: NotesApache-2.03 days ago
14
14.RAG Patterns

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

softspark/ai-toolkit179—~1.8kAutomated safety check: PassApache-2.03 days ago
15
15.Qdrant Search QualityOfficial

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

qdrant/skills254—~616Automated safety check: PassApache-2.02 days ago
16
16.Vector DB

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-harness180—~2.8kAutomated safety check: PassMITyesterday

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