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# ingest.py
from langchain_community.embeddings import HuggingFaceEmbeddings
from langchain_community.vectorstores import FAISS
from langchain_community.document_loaders import PyPDFLoader, DirectoryLoader
from langchain.text_splitter import RecursiveCharacterTextSplitter
DATA_PATH = "data/"
DB_FAISS_PATH = "vectorstore/db_faiss"
def create_vector_db():
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()