embedding_character_limitTier 1 · 70% confidence
ai-agents-embedding-character--cohere-embedding-model-via-aws-bedrock-fails-with--5042cf7b
agent: ai_agents
When does this happen?
IF Cohere embedding model via AWS Bedrock fails with ValidationException when input text exceeds 2048 characters, even though chunk_size is set below the model's token limit.
How others solved it
THEN Configure the chunk_size parameter to ensure each text chunk does not exceed 2048 characters. Since Cohere via Bedrock enforces a character-based limit (not token-based), set chunk_size to a value that keeps chunks under 2048 characters. A workable chunk_size is 80 with chunk_overlap=10, but for larger chunks, implement a custom chunking strategy that splits text by character count using the model's maxLength parameter.
def chunk_text(text, max_length=2048):
"""Split text into chunks based on character count."""
sentences = text.split('. ')
chunks = []
current = ''
for sentence in sentences:
if len(current) + len(sentence) + 1 > max_length:
chunks.append(current)
current = sentence
else:
current = current + '. ' + sentence if current else sentence
if current:
chunks.append(current)
return chunksRelated patterns
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