II.
LibrarySkill overview
Reference · livelib-skill:ai-agents-conversational--rag-hybrid-search
rag-hybrid-search overview
Hybrid search combining semantic and keyword retrieval for RAG pipelines. Implement BM25 + dense vector search with fusion strategies.
Attributes
displayName
rag-hybrid-search
description
Hybrid search combining semantic and keyword retrieval for RAG pipelines. Implement BM25 + dense vector search with fusion strategies.
libraryPath
library/specializations/ai-agents-conversational/skills/rag-hybrid-search/SKILL.md
specialization
ai-agents-conversational
contentSummary
# rag-hybrid-search
Implement hybrid search combining semantic vector retrieval with keyword-based BM25 search for improved RAG pipeline accuracy and recall.
## Overview
Hybrid search addresses the limitations of pure semantic or pure keyword search:
- Semantic search excels at conceptual
Outgoing edges
lib_applies_to_domain1
- domain:software-engineering·DomainSoftware Engineering
lib_belongs_to_specialization1
- specialization:ai-agents-conversational·Specialization
lib_implements_workflow2
- workflow:ml-model-lifecycle·WorkflowML Model Lifecycle
- workflow:feature-development·Workflow
lib_involves_role2
- role:ml-engineer·RoleMachine Learning Engineer
- role:backend-engineer·RoleBackend Engineer
lib_requires_skill_area2
- skill-area:retrieval-augmented-generation·SkillAreaRetrieval-Augmented Generation
- skill-area:search-indexing·SkillAreaSearch and Indexing
Incoming edges
None.