Hybrid Search
by AaaS · open-source · Last verified 2026-03-01
Combines dense vector similarity search with sparse keyword matching (BM25) for more robust retrieval. Enables agents to capture both semantic meaning and exact lexical matches, improving recall on diverse query types.
https://aaas.blog/skill/hybrid-search ↗B
B—Above Average
Adoption: B+Quality: AFreshness: ACitations: BEngagement: F
Specifications
- License
- MIT
- Pricing
- open-source
- Capabilities
- dense-retrieval, sparse-retrieval, score-fusion, query-routing, index-management
- Integrations
- pinecone, weaviate, elasticsearch, langchain
- Use Cases
- enterprise-search, document-qa, e-commerce-search, knowledge-retrieval
- API Available
- No
- Difficulty
- intermediate
- Prerequisites
- semantic-search, embedding-generation
- Supported Agents
- claude-code, devin
- Tags
- rag, search, hybrid, sparse-dense, retrieval
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
63.8Adoption
76
Quality
82
Freshness
80
Citations
68
Engagement
0