LangChain 1 · Retrieval (RAG)
Split documents into chunks
Break long text into overlapping chunks that fit an embedding model.
from langchain_text_splitters import RecursiveCharacterTextSplitter
splitter = RecursiveCharacterTextSplitter(chunk_size=1000, chunk_overlap=200)
chunks = splitter.split_documents(docs)
Official LangChain 1 documentation