Comments (1)
Fixed it this way:
new_db = FAISS.load_local("faiss_index", embeddings, allow_dangerous_deserialization=True)
from complete-langchain-tutorials.
Related Issues (12)
- Security warning HOT 2
- Unused variable `doc` assigned but not being returned. Proper chunked data not being processed
- chatmultipledocuments/chatpdf1.py - Got Value Error ValueError: The de-serialization relies loading a pickle file. Pickle files can be modified to deliver a malicious payload that results in execution of arbitrary code on your machine.You will need to set `allow_dangerous_deserialization` to `True` to enable deserialization. If you do this, make sure that you trust the source of the data. For example, if you are loading a file that you created, and no that no one else has modified the file, then this is safe to do. Do not set this to `True` if you are loading a file from an untrusted source (e.g., some random site on the internet.). HOT 4
- ValueError: source code string cannot contain null bytes
- ValueError: Error raised by inference API: HOT 1
- Unable to use CTransformers HOT 10
- {'output_text': 'Answer is not available in the context'} HOT 2
- Unable to install package langchain_google_genai
- Issue with Faiss INDEX creation HOT 2
- Call Depreceated use Invoke Instead HOT 1
- Error while deploying the Blog Generation application to Hugging Face HOT 3
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