run-llama/llama_index · error · ValueError
Metadata length ({metadata_len}) is longer than chunk size (
Error message
Metadata length ({metadata_len}) is longer than chunk size ({self.chunk_size}). Consider increasing the chunk size or decreasing the size of your metadata to avoid this. What it means
Error "Metadata length ({metadata_len}) is longer than chunk size ({self.chunk_size}). Consider increasing the chunk size or decreasing the size of your metadata to avoid this." thrown in run-llama/llama_index.
Source
Thrown at llama-index-core/llama_index/core/node_parser/text/sentence.py:160
chunk_overlap=chunk_overlap,
tokenizer=tokenizer,
paragraph_separator=paragraph_separator,
chunking_tokenizer_fn=chunking_tokenizer_fn,
secondary_chunking_regex=secondary_chunking_regex,
callback_manager=callback_manager,
include_metadata=include_metadata,
include_prev_next_rel=include_prev_next_rel,
)
@classmethod
def class_name(cls) -> str:
return "SentenceSplitter"
def split_text_metadata_aware(self, text: str, metadata_str: str) -> List[str]:
metadata_len = len(self._tokenizer(metadata_str))
effective_chunk_size = self.chunk_size - metadata_len
if effective_chunk_size <= 0:
raise ValueError(
f"Metadata length ({metadata_len}) is longer than chunk size "
f"({self.chunk_size}). Consider increasing the chunk size or "
"decreasing the size of your metadata to avoid this."
)
elif effective_chunk_size < 50:
print(
f"Metadata length ({metadata_len}) is close to chunk size "
f"({self.chunk_size}). Resulting chunks are less than 50 tokens. "
"Consider increasing the chunk size or decreasing the size of "
"your metadata to avoid this.",
flush=True,
)
return self._split_text(text, chunk_size=effective_chunk_size)
def split_text(self, text: str) -> List[str]:
return self._split_text(text, chunk_size=self.chunk_size)
View on GitHub (pinned to afd0fef371)
Solutions
- Increase chunk_size so metadata plus content fits.
- Reduce metadata size or set metadata to be excluded from the chunk length calculation.
When it happens
Trigger: Thrown at llama-index-core/llama_index/core/node_parser/text/sentence.py:160 when the library encounters an invalid state.
Common situations: See trigger scenarios.
AI-assisted analysis of run-llama/llama_index@afd0fef371 (2026-08-15).
Data as JSON: /api/errors/a08bff810feb7534.
Report an issue: GitHub.