faiss_vector_storage.py

# SPDX-FileCopyrightText: Copyright (c) 2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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import faiss, os
from llama_index.vector_stores import FaissVectorStore
from llama_index import VectorStoreIndex, SimpleDirectoryReader, Document
from llama_index import StorageContext, load_index_from_storage
from llama_index.vector_stores.simple import SimpleVectorStore
from llama_index.storage.docstore.simple_docstore import SimpleDocumentStore
from llama_index.storage.index_store.simple_index_store import SimpleIndexStore


class FaissEmbeddingStorage:

    def __init__(self, data_dir, dimension=384):
        self.d = dimension
        self.data_dir = data_dir
        self.index = self.initialize_index()

    def initialize_index(self):
        if os.path.exists("storage-default") and os.listdir("storage-default"):
            print("Using the presisted value")
            vector_store = FaissVectorStore.from_persist_dir("storage-default")
            storage_context = StorageContext.from_defaults(
                vector_store=vector_store, persist_dir="storage-default"
            )
            index = load_index_from_storage(storage_context=storage_context)
            return index
        else:
            print("generating new values")
            documents = SimpleDirectoryReader(self.data_dir).load_data()
            faiss_index = faiss.IndexFlatL2(self.d)
            vector_store = FaissVectorStore(faiss_index=faiss_index)
            storage_context = StorageContext.from_defaults(vector_store=vector_store)
            index = VectorStoreIndex.from_documents(documents, storage_context=storage_context)
            index.storage_context.persist(persist_dir = "storage-default")
            return index

    def get_query_engine(self):
        return self.index.as_query_engine()