Upload files to 'Supportgpt'

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2024-01-08 05:04:56 +00:00
parent 3a484ac222
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from langchain.embeddings import HuggingFaceEmbeddings
from langchain.vectorstores import FAISS
from langchain.document_loaders import PyPDFLoader, DirectoryLoader
from langchain.text_splitter import RecursiveCharacterTextSplitter
from langchain.document_loaders.csv_loader import CSVLoader
DATA_PATH = 'data/'
DB_FAISS_PATH = 'vectorstore/db_faiss'
# Create vector database
def create_vector_db():
loader = CSVLoader(file_path="./supportqa.csv", encoding='iso-8859-1', source_column="Question")
# loader = DirectoryLoader(DATA_PATH,
# glob='*.pdf',
# loader_cls=PyPDFLoader)
documents = loader.load()
text_splitter = RecursiveCharacterTextSplitter(chunk_size=500,
chunk_overlap=50)
texts = text_splitter.split_documents(documents)
embeddings = HuggingFaceEmbeddings(model_name='sentence-transformers/all-MiniLM-L6-v2',
model_kwargs={'device': 'cpu'})
db = FAISS.from_documents(texts, embeddings)
db.save_local(DB_FAISS_PATH)
if __name__ == "__main__":
create_vector_db()