II.
LibraryProcess overview
Reference · livelib-process:ai-agents-conversational--advanced-rag-patterns
advanced-rag-patterns overview
Advanced RAG Pattern Implementation - Process for implementing advanced RAG patterns including hierarchical retrieval, multi-query RAG, agentic RAG, hybrid search, and self-RAG with quality assessment.
Attributes
displayName
advanced-rag-patterns
description
Advanced RAG Pattern Implementation - Process for implementing advanced RAG patterns including
hierarchical retrieval, multi-query RAG, agentic RAG, hybrid search, and self-RAG with quality assessment.
libraryPath
library/specializations/ai-agents-conversational/advanced-rag-patterns.js
specialization
ai-agents-conversational
references
- - Self-RAG: https://arxiv.org/abs/2310.11511 - HyDE: https://arxiv.org/abs/2212.10496 - LlamaIndex Advanced RAG: https://docs.llamaindex.ai/en/stable/optimizing/advanced_retrieval/
example
const result = await orchestrate('specializations/ai-agents-conversational/advanced-rag-patterns', {
patternName: 'self-rag-qa',
optimizationGoal: 'accuracy',
baseRagPipeline: existingPipeline
});
usesAgents
- advanced-rag-specialist
- retrieval-developer
- reranking-developer
- self-rag-developer
- rag-evaluator
usesSkills
- retrieval-strategies
Outgoing edges
lib_applies_to_domain1
- domain:software-engineering·DomainSoftware Engineering
lib_belongs_to_specialization1
- specialization:ai-agents-conversational·Specialization
lib_implements_workflow1
- workflow:agent-evaluation-cycle·WorkflowAgent Evaluation Cycle
lib_involves_role1
- role:backend-engineer·RoleBackend Engineer
Incoming edges
None.