File size: 295 Bytes
14b6034 | 1 2 3 4 5 6 7 8 9 10 | from langchain.vectorstores import FAISS
from langchain.embeddings import HuggingFaceEmbeddings
def create_vector_store(documents):
embeddings = HuggingFaceEmbeddings(
model_name="sentence-transformers/all-MiniLM-L6-v2"
)
return FAISS.from_documents(documents, embeddings) |