Faiss search error

[isold23]

Describe the bug
Error building Component FAISS Search: 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 know 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.).
how to fix it?

Browser and Version

• Browser [safari]
• Version [langflow (1.0.0a59)]

To Reproduce
Steps to reproduce the behavior:

1. Go to '...'
2. Click on '....'
3. Scroll down to '....'
4. See error

Screenshots
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Additional context
Add any other context about the problem here.

[dosubot]

To fix the error related to de-serialization while building the FAISS Search component, you might consider setting the allow_dangerous_deserialization parameter to True. However, this is generally not recommended due to security risks.

Here is an example of how you might modify the build method to include allow_dangerous_deserialization:

def build(
    self,
    input_value: Text,
    embedding: Embeddings,
    folder_path: str,
    number_of_results: int = 4,
    index_name: str = "langflow_index",
    allow_dangerous_deserialization: bool = False  # Add this parameter
) -> List[Record]:
    if not folder_path:
        raise ValueError("Folder path is required to save the FAISS index.")
    path = self.resolve_path(folder_path)
    vector_store = FAISS.load_local(
        folder_path=Text(path),
        embeddings=embedding,
        index_name=index_name,
        allow_dangerous_deserialization=allow_dangerous_deserialization  # Pass it here
    )
    if not vector_store:
        raise ValueError("Failed to load the FAISS index.")

    return self.search_with_vector_store(
        vector_store=vector_store, input_value=input_value, search_type="similarity", k=number_of_results
    )

Regarding the safety of setting allow_dangerous_deserialization to True, it is generally not safe because it can expose your application to security vulnerabilities, such as arbitrary code execution. Use this option only if you fully understand the risks and have no other alternatives ^[1].

To continue talking to Dosu, mention @dosu.

[isold23]

vector_store = FAISS.load_local(folder_path=Text(path), embeddings=embedding, index_name=index_name, allow_dangerous_deserialization=True)
no fixes

[anovazzi1]

Hello,
Sorry for the delay. Did you try using the new version? Does the error still persist?

[Carlos Coelho]

Hi @isold23,


I hope you're doing well. Just a friendly reminder that if we do not hear back from you within the next 3 days, we will close this issue. If you need more time or further assistance, please let us know.


Thank you for your understanding!

[Carlos Coelho]

Thank you for your contribution! This issue will be closed. If you have any questions or encounter another problem, please open a new issue and we will be ready to assist you.