| from langchain_huggingface import HuggingFaceEmbeddings | |
| from langchain_community.vectorstores import FAISS | |
| def embed_documents(documents): | |
| embedding_model = HuggingFaceEmbeddings(model_name="sentence-transformers/paraphrase-MiniLM-L3-v2") | |
| vector_store = FAISS.from_texts([doc['text'] for doc in documents], embedding_model) | |
| return vector_store | |