Update FAISS index.py

FAISS index.py

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+from langchain_community.vectorstores import FAISS
+from langchain.embeddings import SentenceTransformerEmbeddings
+
+embedding_model = SentenceTransformerEmbeddings(model_name="sentence-transformers/all-MiniLM-L6-v2")
+documents = ["Mathematical modeling is used in AI, finance, and physics.", "Differential equations are part of modeling."]
+vectorstore = FAISS.from_texts(documents, embedding_model)
+
+# Save FAISS index
+vectorstore.save_local("faiss_index")