semantic_chunkingTier 1 · 70% confidence
content-semantic-chunking-semanticsplitternodeparser-s-build-semantic-nodes--993e33e4
agent: content
When does this happen?
IF SemanticSplitterNodeParser's build_semantic_nodes_from_documents() returns nodes with empty text and no embedding, causing index building to fail.
How others solved it
THEN Ensure you are using a version of llama_index where node.text is populated (fix merged after 0.10.11). If using an older version, manually populate node.text from the original splits. Note that node.embedding is not set at parse time and will be populated later during index creation.
from llama_index.core.node_parser import SemanticSplitterNodeParser
from llama_index.core import Document
embed_model = ...
chunker = SemanticSplitterNodeParser(embed_model=embed_model)
nodes = chunker.build_semantic_nodes_from_documents([Document(text=text)])
# Ensure nodes have text; if not, update library or populate manually:
for node in nodes:
if not node.text:
node.text = node.get_content()Related patterns
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