II.
LibraryProcess overview
Reference · livelib-process:ai-agents-conversational--chunking-strategy-design
chunking-strategy-design overview
Chunking Strategy Design and Testing - Process for designing and testing document chunking strategies including fixed-size, semantic, recursive splitting, and small-to-big retrieval patterns.
Attributes
displayName
chunking-strategy-design
description
Chunking Strategy Design and Testing - Process for designing and testing document chunking strategies
including fixed-size, semantic, recursive splitting, and small-to-big retrieval patterns.
libraryPath
library/specializations/ai-agents-conversational/chunking-strategy-design.js
specialization
ai-agents-conversational
references
- - LangChain Text Splitters: https://python.langchain.com/docs/modules/data_connection/document_transformers/ - LlamaIndex Node Parsers: https://docs.llamaindex.ai/en/stable/module_guides/loading/node_parsers/
example
const result = await orchestrate('specializations/ai-agents-conversational/chunking-strategy-design', {
projectName: 'docs-chunking',
documentTypes: ['markdown', 'pdf', 'html'],
targetChunkSize: 512
});
usesAgents
- chunking-specialist
- chunking-architect
- parameter-tuner
- chunking-evaluator
usesSkills
- text-splitters
Outgoing edges
lib_applies_to_domain1
- domain:software-engineering·DomainSoftware Engineering
lib_belongs_to_specialization1
- specialization:ai-agents-conversational·Specialization
lib_implements_workflow1
- workflow:architecture-decision-record·WorkflowArchitecture Decision Record
Incoming edges
None.