SkillLLMsv1.0

Semantic Search

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

Enables meaning-based retrieval by converting queries and documents into dense vector representations and finding nearest neighbors. Foundational skill for any RAG pipeline or knowledge-base-powered agent.

https://aaas.blog/skill/semantic-search ↗

C+

C+—Average

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

Specifications

License: MIT
Pricing: open-source
Capabilities: embedding-similarity, nearest-neighbor-search, query-encoding, document-encoding
Integrations: pinecone, chroma, langchain, llama-index
Use Cases: document-retrieval, faq-matching, duplicate-detection, content-recommendation
API Available: No
Difficulty: beginner
Prerequisites
Supported Agents: claude-code, devin
Tags: search, embeddings, similarity, vector-search, retrieval
Added: 2026-03-17
Completeness: 87%

Index Score

Adoption

Quality

Freshness

Citations

Engagement

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