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 ↗B
B—Above Average
Adoption: AQuality: AFreshness: B+Citations: B+Engagement: 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
- 100%
Index Score
67.6Adoption
84
Quality
80
Freshness
78
Citations
72
Engagement
0