Recursive Character Text Splitter Node

Der Recursive Character Text Splitter-Node teilt Dokumentdaten rekursiv auf, um alle Absätze, Sätze und Wörter so lange wie möglich zusammenzuhalten.

Auf dieser Seite finden Sie die Node-Parameter für den Recursive 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

• Chunk-Größe: Geben Sie die Anzahl der Zeichen in jedem Chunk ein.
• Chunk-Überlappung: Geben Sie an, wie viel Überlappung zwischen den Chunks bestehen soll.

Zugehörige Ressourcen

Weitere Informationen zum Dienst finden Sie in der Textsplitter-Dokumentation von LangChain und der Dokumentation zu rekursiver Aufteilung nach Zeichen von LangChain.

View Localmind Automate's Advanced AI documentation.

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.