SkillLLMsv1.0

Embedding Generation

by AaaS · open-source · Last verified 2026-03-01

Generates dense vector embeddings from text, images, or other data types for use in similarity search, clustering, and classification. Covers model selection, batch processing, dimensionality considerations, and normalization strategies for optimal retrieval performance.

https://aaas.blog/skill/embedding-generation ↗

C—Below Average

Adoption: AQuality: AFreshness: B+Citations: FEngagement: F

Specifications

License: MIT
Pricing: open-source
Capabilities: text-embedding, batch-processing, model-selection, dimensionality-control, normalization
Integrations: openai, cohere, sentence-transformers, pinecone
Use Cases: search-indexing, clustering, recommendation-systems, anomaly-detection
API Available: No
Difficulty: intermediate
Prerequisites
Supported Agents: claude-code
Tags: embeddings, vectors, representation, encoding, similarity
Added: 2026-03-17
Completeness: 87%

Index Score

Adoption

Quality

Freshness

Citations

Engagement

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