Character Text Splitter Node#

Verwenden Sie den Character Text Splitter Node, um Dokumentdaten basierend auf Zeichen zu teilen.

Auf dieser Seite finden Sie die Node-Parameter für den Character Text Splitter Node sowie Links zu weiteren Ressourcen.

Parameter resolution in sub-nodes

Sub-nodes behave differently to other nodes when processing multiple items using an expression.

Most nodes, including root nodes, take any number of items as input, process these items, and output the results. You can use expressions to refer to input items, and the node resolves the expression for each item in turn. For example, given an input of five name values, the expression {{ $json.name }} resolves to each name in turn.

In sub-nodes, the expression always resolves to the first item. For example, given an input of five name values, the expression {{ $json.name }} always resolves to the first name.

Node Parameter#

Separator: Wählen Sie den Separator aus, der verwendet wird, um das Dokument in separate Elemente aufzuteilen.
Chunk Size: Geben Sie die Anzahl der Zeichen in jedem Chunk ein.
Chunk Overlap: Geben Sie an, wie viel Überlappung zwischen den Chunks bestehen soll.

AI glossary#

completion: Completions are the responses generated by a model like GPT.
hallucinations: Hallucination in AI is when an LLM (large language model) mistakenly perceives patterns or objects that don't exist.
vector database: A vector database stores mathematical representations of information. Use with embeddings and retrievers to create a database that your AI can access when answering questions.
vector store: A vector store, or vector database, stores mathematical representations of information. Use with embeddings and retrievers to create a database that your AI can access when answering questions.

Character Text Splitter Node#

Node Parameter#

Verwandte Ressourcen#

AI glossary#