hybrid-search-fusion
CommunityUnify multi-engine search with hybrid precision.
AuthorRigohl
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Hybrid search across multiple engines within MEMORY_P v2.0 often requires manual stitching and fragile integrations. This skill provides a unified orchestration layer over the multi-engine stack to deliver performant, relevant results.
Core Features & Use Cases
- Unified hybrid search orchestration: coordinates semantic search and full-text indexing across Qdrant, Tantivy, and other engines via FFI.
- Multi-language compatibility: enables cross-language data flow and retrieval across Julia, JAX, Mojo, Pony, Zig interfaces.
- Cross-engine ranking: combines signals from different engines to improve relevance and speed in complex queries.
Quick Start
Configure and run the hybrid-search-fusion module to enable combined semantic and full-text search across MEMORY_P’s multi-engine stack.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: hybrid-search-fusion Download link: https://github.com/Rigohl/MEMORY_P/archive/main.zip#hybrid-search-fusion Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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