In the langchain wiki of FAISS, https://python.langchain.com/v0.2/docs/integrations/vectorstores/faiss/, it only talks about saving indexes to files.
db.save_local("faiss_index")
new_db = FAISS.load_local("faiss_index", embeddings)
docs = new_db.similarity_search(query)
How can I save the indexes to databases, such that we can organize and concurrently access multiple indexes?
Searched on line but could not get much info on this.
Can FAISS be used with any kind of vector databases?
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