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fix: add batch_size support to prevent embedder token limit errors

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- add batch_size field to baseragconfig (default=100)  
- update chromadb/qdrant clients and factories to use batch_size  
- extract and filter batch_size from embedder config in knowledgestorage  
- fix large csv files exceeding embedder token limits (#3574)  
- remove unneeded conditional for type  

Co-authored-by: Vini Brasil <vini@hey.com>
This commit is contained in:
Greyson LaLonde
2025-09-24 00:05:43 -04:00
committed by GitHub
parent 4ac65eb0a6
commit 1dbe8aab52
12 changed files with 558 additions and 56 deletions
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46
src/crewai/memory/storage/rag_storage.py
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@@ -66,11 +66,28 @@ class RAGStorage(BaseRAGStorage):
f"Error: {e}"
) from e
config = ChromaDBConfig(
embedding_function=cast(
ChromaEmbeddingFunctionWrapper, embedding_function
batch_size = None
if (
isinstance(self.embedder_config, dict)
and "config" in self.embedder_config
):
nested_config = self.embedder_config["config"]
if isinstance(nested_config, dict):
batch_size = nested_config.get("batch_size")
if batch_size is not None:
config = ChromaDBConfig(
embedding_function=cast(
ChromaEmbeddingFunctionWrapper, embedding_function
),
batch_size=batch_size,
)
else:
config = ChromaDBConfig(
embedding_function=cast(
ChromaEmbeddingFunctionWrapper, embedding_function
)
)
)
self._client = create_client(config)
def _get_client(self) -> BaseClient:
@@ -111,7 +128,26 @@ class RAGStorage(BaseRAGStorage):
if metadata:
document["metadata"] = metadata
client.add_documents(collection_name=collection_name, documents=[document])
batch_size = None
if (
self.embedder_config
and isinstance(self.embedder_config, dict)
and "config" in self.embedder_config
):
nested_config = self.embedder_config["config"]
if isinstance(nested_config, dict):
batch_size = nested_config.get("batch_size")
if batch_size is not None:
client.add_documents(
collection_name=collection_name,
documents=[document],
batch_size=batch_size,
)
else:
client.add_documents(
collection_name=collection_name, documents=[document]
)
except Exception as e:
logging.error(
f"Error during {self.type} save: {e!s}\n{traceback.format_exc()}"