hybrid-search-implementation
Patterns and templates for combining vector similarity and keyword-based search for RAG systems.
Install
npx skills add https://github.com/wshobson/agents --skill hybrid-search-implementationStats
| Total installs | 3,526 |
| Weekly installs | 3.5K |
| GitHub stars | 32.4K |
| First seen | Jan 20, 2026 |
| Source | @wshobson/agents |
Summary
- Provides four fusion methods: Reciprocal Rank Fusion (RRF) for general use, linear combination for tunable balance, cross-encoder reranking for highest quality, and cascade filtering for efficiency
- Includes production-ready templates for PostgreSQL with pgvector, Elasticsearch with dense vectors, and custom Python pipelines with parallel search execution
- Handles score normalization, metadata filtering, and result deduplication across multiple search backends
- Supports reranking with cross-encoders and offers practical guidance on tuning weights empirically rather than assuming fixed configurations
Tags
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FAQ
- How many installs does hybrid-search-implementation have?
- hybrid-search-implementation has 3,526 total installs and 3.5K installs this week.
- Where is hybrid-search-implementation hosted?
- hybrid-search-implementation is published by @wshobson/agents at https://github.com/wshobson/agents.
- How many GitHub stars does hybrid-search-implementation have?
- hybrid-search-implementation has 32.4K GitHub stars.
- When was hybrid-search-implementation first indexed?
- OrangeBot.AI first indexed hybrid-search-implementation on Jan 20, 2026.
- How do I install hybrid-search-implementation?
- Run: npx skills add https://github.com/wshobson/agents --skill hybrid-search-implementation