Hi @chang-yichen can you share the error trace

Hi @kartikpersistent I see the following in my terminal:

backend | /usr/local/lib/python3.10/site-packages/pydantic/_internal/fields.py:161: UserWarning: Field "model_name" has conflict with protected namespace "model".
backend |
backend | You may be able to resolve this warning by setting model_config['protected_namespaces'] = ().
backend | warnings.warn(
backend | [2024-11-06 01:00:07 +0000] [1] [ERROR] Worker (pid:283) was sent SIGKILL! Perhaps out of memory?
backend | 2024-11-06 01:00:07,473 - Embedding: Using SentenceTransformer , Dimension:384
backend | 2024-11-06 01:00:07,475 - Embedding: Using SentenceTransformer , Dimension:384
backend | [2024-11-06 01:00:07 +0000] [515] [INFO] Booting worker with pid: 515
backend | 2024-11-06 01:00:07,538 - USER_AGENT environment variable not set, consider setting it to identify your requests.
backend | [2024-11-06 01:00:08 +0000] [380] [INFO] Started server process [380]
backend | [2024-11-06 01:00:08 +0000] [380] [INFO] Waiting for application startup.
backend | [2024-11-06 01:00:08 +0000] [380] [INFO] Application startup complete.
backend | /code/src/shared/common_fn.py:89: LangChainDeprecationWarning: The class HuggingFaceEmbeddings was deprecated in LangChain 0.2.2 and will be removed in 1.0. An updated version of the class exists in the :class:~langchain-huggingface package and should be used instead. To use it run pip install -U :class:~langchain-huggingface and import as from :class:~langchain_huggingface import HuggingFaceEmbeddings. backend | embeddings = SentenceTransformerEmbeddings( backend | 2024-11-06 01:00:11,697 - PyTorch version 2.4.1 available. backend | 2024-11-06 01:00:12,312 - Use pytorch device_name: cpu backend | 2024-11-06 01:00:12,313 - Load pretrained SentenceTransformer: all-MiniLM-L6-v2 backend | /usr/local/lib/python3.10/site-packages/pydantic/_internal/_fields.py:161: UserWarning: Field "model_name" has conflict with protected namespace "model_". backend | backend | You may be able to resolve this warning by setting `model_config['protected_namespaces'] = ()`. backend | warnings.warn( backend | 2024-11-06 01:00:13,961 - Use pytorch device_name: cpu backend | 2024-11-06 01:00:13,961 - Load pretrained SentenceTransformer: all-MiniLM-L6-v2 backend | 2024-11-06 01:00:15,851 - Embedding: Using SentenceTransformer , Dimension:384 backend | 2024-11-06 01:00:15,878 - USER_AGENT environment variable not set, consider setting it to identify your requests. backend | 2024-11-06 01:00:17,699 - Embedding: Using SentenceTransformer , Dimension:384 backend | 2024-11-06 01:00:17,900 - Use pytorch device_name: cpu backend | 2024-11-06 01:00:17,910 - Load pretrained SentenceTransformer: all-MiniLM-L6-v2 backend | [2024-11-06 01:00:19 +0000] [1] [ERROR] Worker (pid:380) was sent SIGKILL! Perhaps out of memory? backend | [2024-11-06 01:00:19 +0000] [550] [INFO] Booting worker with pid: 550 backend | /code/src/shared/common_fn.py:89: LangChainDeprecationWarning: The class `HuggingFaceEmbeddings` was deprecated in LangChain 0.2.2 and will be removed in 1.0. An updated version of the class exists in the :class:`~langchain-huggingface package and should be used instead. To use it run `pip install -U :class:`~langchain-huggingface` and import as `from :class:`~langchain_huggingface import HuggingFaceEmbeddings.
backend | embeddings = SentenceTransformerEmbeddings(
backend | 2024-11-06 01:00:22,495 - Embedding: Using SentenceTransformer , Dimension:384
backend | 2024-11-06 01:00:24,824 - PyTorch version 2.4.1 available.
backend | 2024-11-06 01:00:25,429 - Use pytorch device_name: cpu
backend | 2024-11-06 01:00:25,429 - Load pretrained SentenceTransformer: all-MiniLM-L6-v2
backend | [2024-11-06 01:00:25 +0000] [409] [INFO] Started server process [409]
backend | [2024-11-06 01:00:25 +0000] [409] [INFO] Waiting for application startup.
backend | [2024-11-06 01:00:25 +0000] [409] [INFO] Application startup complete.
backend | /usr/local/lib/python3.10/site-packages/pydantic/_internal/fields.py:161: UserWarning: Field "model_name" has conflict with protected namespace "model".
backend |
backend | You may be able to resolve this warning by setting model_config['protected_namespaces'] = ().
backend | warnings.warn(
backend | 2024-11-06 01:00:26,153 - Use pytorch device_name: cpu
backend | 2024-11-06 01:00:26,155 - Load pretrained SentenceTransformer: all-MiniLM-L6-v2
backend | [2024-11-06 01:00:29 +0000] [1] [ERROR] Worker (pid:409) was sent SIGKILL! Perhaps out of memory?

hi @chang-yichen it is related no of workers please reduce the workers according to the CPU capacity