[Question]: is it possible to encrypt docstore?

[justinzyw]

Question Validation

• [X] I have searched both the documentation and discord for an answer.

Question

currently the contents of docstore are not encrypted and open to all, is it possible to encrypt the docstore please so that it can not be viewed but still can be used by index?

[dosubot[bot]]

Yes, it is possible to integrate encryption into the docstore in LlamaIndex. While there are no built-in encryption features, you can modify the KVDocumentStore class to include encryption during data serialization and deserialization processes. Additionally, you can add custom security mechanisms to the FastAPI app used by the ContributorService.

Here is a general approach to achieve this:

1. Modify Serialization/Deserialization:

   • Override the methods responsible for data serialization and deserialization in the KVDocumentStore class to include encryption and decryption logic.

2. Custom Security Mechanisms:

   • Modify the FastAPI app to include your own security mechanisms, such as authentication and encryption.

Example for modifying the FastAPI app:

settings = ContributorServiceSettings()
service = ContributorService(config=settings, query_engine=query_engine)
app = service.app

# Modify app here to include your own security mechanisms

This approach allows you to ensure that the contents of the docstore are encrypted and secure while still being usable by the index ^[1].

To continue talking to Dosu, mention @dosu.

[justinzyw]

@dosu , how about Vector Stores, Document Stores, Index Stores? can they be encrypted?

[dosubot[bot]]

Yes, you can integrate encryption into Vector Stores, Document Stores, and Index Stores in LlamaIndex. While there are no built-in encryption features, you can modify the relevant classes to include encryption during data serialization and deserialization processes.

General Approach:

1. Modify Serialization/Deserialization:

   • Override the methods responsible for data serialization and deserialization in the respective store classes to include encryption and decryption logic.

2. Custom Security Mechanisms:

   • Modify the FastAPI app to include your own security mechanisms, such as authentication and encryption.

Example for Vector Stores:

You can modify the add, delete, query, get_nodes, delete_nodes, and clear methods to include encryption and decryption logic.

Example for Document/Index Stores:

You can modify the underlying key-value storage abstraction to include encryption and decryption logic during data storage and retrieval.

Example Code Snippet:

Here is a simplified example of how you might modify the KVDocumentStore class to include encryption:

from cryptography.fernet import Fernet

class EncryptedKVDocumentStore(KVDocumentStore):
    def __init__(self, encryption_key: bytes, *args, **kwargs):
        super().__init__(*args, **kwargs)
        self.cipher = Fernet(encryption_key)

    def _encrypt(self, data: bytes) -> bytes:
        return self.cipher.encrypt(data)

    def _decrypt(self, data: bytes) -> bytes:
        return self.cipher.decrypt(data)

    def set(self, key: str, value: bytes):
        encrypted_value = self._encrypt(value)
        super().set(key, encrypted_value)

    def get(self, key: str) -> bytes:
        encrypted_value = super().get(key)
        return self._decrypt(encrypted_value)

This approach ensures that the contents of the stores are encrypted and secure while still being usable by the index.

To continue talking to Dosu, mention @dosu.