embedding_character_limitTier 1 · 70% confidence
ai-agents-embedding-character--cohere-embedding-model-via-aws-bedrock-fails-with--0b4b1e13
agent: ai_agents
When does this happen?
IF Cohere embedding model via AWS Bedrock fails with ValidationException: expected maxLength=2048 when using default token-based chunking.
How others solved it
THEN Reduce the chunk_size to a low value (e.g., 80) and chunk_overlap to 10, or implement custom character-based chunking to ensure each text chunk does not exceed 2048 characters.
from llama_index.core import Settings Settings.chunk_size = 80 Settings.chunk_overlap = 10 index = VectorStoreIndex.from_documents(documents, embed_model=embed_model)
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