Document Chunking And Segmentation For Llm Ingestion

via “modular document ingestion pipeline with configurable node parsers”

Data framework for LLM applications — advanced RAG, indexing, and data connectors.

Unique: Pluggable node parser architecture with built-in support for semantic chunking, hierarchical document relationships, and metadata extraction during ingestion. The framework preserves document lineage through parent-child node mappings, enabling context-aware retrieval without post-hoc reconstruction.

vs others: More flexible than LangChain's document loaders because it decouples parsing logic from storage, allowing users to compose chunking strategies; more comprehensive than raw vector DB SDKs because it handles metadata extraction and hierarchical relationships natively.