[Solved] What is wrong with this code if the metadata is missing after splitting?... What is wrong with this code if the metadata is missing after splitting? | LangChain

LangChain - Text Splitting

What is wrong with this code if the metadata is missing after splitting?

docs = [Document(page_content='Test text', metadata={'id': 123})]
splitter = RecursiveCharacterTextSplitter(chunk_size=4, chunk_overlap=1)
chunks = splitter.split_texts(docs)
print(chunks[0].metadata)

AUsing split_texts instead of split_documents loses metadata.

BChunk size is too small to keep metadata.

CMetadata key 'id' is invalid and removed.

DOverlap must be zero to preserve metadata.

Step-by-Step Solution

Solution:

Step 1: Identify the method used for splitting
The code uses split_texts which only splits text strings, not Document objects with metadata.
Step 2: Understand consequence on metadata
Since split_texts works on strings, metadata is lost. The correct method to preserve metadata is split_documents.
Final Answer:
Using split_texts instead of split_documents loses metadata. -> Option A
Quick Check:
split_texts loses metadata [OK]

Quick Trick: Use split_documents to keep metadata [OK]

Common Mistakes:

Thinking chunk size affects metadata
Believing metadata keys cause loss
Assuming overlap affects metadata

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What is wrong with this code if the metadata is missing after splitting?

Step 1: Identify the method used for splitting

Step 2: Understand consequence on metadata

Final Answer:

Quick Check:

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