Hi team! Currently, the USearch vector store in langchain-community operates strictly in-memory. This means users lose their index on server restarts, leading to slow cold starts and expensive re-embedding API costs for web applications. The most common local alternative is FAISS , but its load_local method relies on pickle serialization, which poses well-known security risks (requiring users to explicitly pass allow_dangerous_deserialization=True ). My Proposal I would like to add save_local and load_local methods to USearch to achieve feature parity, but with a secure-by-default architecture: Use USearch’s high-performance native .save() and .restore() for the binary index. Serialize the docstore and ids into a standard, readable .json file (completely bypassing pickle vulnerabilities). I already have the code, type hints, and integration tests ( test_usearch_save_load_local ) written, formatted ( make format ), and passing locally. Before I open a Pull Request, I wanted to ask: would the maintainers be open to this contribution? Thanks for your time and for the amazing work on LangChain! 1 post - 1 participant Read full topic