II.
LibrarySkill overview
Reference · livelib-skill:ai-agents-conversational--rag-reranking
rag-reranking overview
Cross-encoder reranking and MMR diversity filtering for improved retrieval quality
Attributes
displayName
rag-reranking
description
Cross-encoder reranking and MMR diversity filtering for improved retrieval quality
libraryPath
library/specializations/ai-agents-conversational/skills/rag-reranking/SKILL.md
specialization
ai-agents-conversational
contentSummary
# RAG Reranking Skill
## Capabilities
- Implement cross-encoder reranking models
- Configure Maximal Marginal Relevance (MMR) filtering
- Set up Cohere Rerank integration
- Design multi-stage retrieval pipelines
- Implement diversity-aware reranking
- Configure score normalization and thr
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:model-evaluation·SkillAreaModel Evaluation & Selection
Incoming edges
None.