Node Parser


Node parsers are a simple abstraction that take a list of documents, and chunk them into Node objects, such that each node is a specific size. When a document is broken into nodes, all of it’s attributes are inherited to the children nodes (i.e. metadata, text and metadata templates, etc.). You can read more about Node and Document properties here.

A node parser can configure the chunk size (in tokens) as well as any overlap between chunked nodes. The chunking is done by using a TokenTextSplitter, which default to a chunk size of 1024 and a default chunk overlap of 20 tokens.

Usage Pattern

from llama_index.node_parser import SimpleNodeParser

node_parser = SimpleNodeParser.from_defaults(chunk_size=1024, chunk_overlap=20)

You can find more usage details and availbale customization options below.