Delete Ingest.py

Ingest.py

@@ -1,18 +0,0 @@
-from langchain_community.document_loaders import PyPDFLoader,DirectoryLoader
-from langchain_community.embeddings import HuggingFaceEmbeddings
-from langchain.text_splitter import RecursiveCharacterTextSplitter
-from langchain_community.vectorstores import FAISS
-
-loader = DirectoryLoader('data', glob="./*.pdf", loader_cls=PyPDFLoader)
-documents = loader.load()
-
-text_splitter = RecursiveCharacterTextSplitter(chunk_size=1024, chunk_overlap=200)
-texts = text_splitter.split_documents(documents)
-
-embedings = HuggingFaceEmbeddings(model_name="nomic-ai/nomic-embed-text-v1",model_kwargs={"trust_remote_code":True,"revision":"289f532e14dbbbd5a04753fa58739e9ba766f3c7"})
-
-# Creates vector embeddings and saves it in the FAISS DB
-faiss_db = FAISS.from_documents(texts, embedings)
-
-# Saves and export the vector embeddings databse
-faiss_db.save_local("ipc_vector_db")