example

app.py

@@ -16,7 +16,7 @@ device = "cuda" if torch.cuda.is_available() else "cpu"
 model_kwargs = {"device": device}
 embeddings = HuggingFaceEmbeddings(model_name=model_name, model_kwargs=model_kwargs)
 
-loader = DirectoryLoader('./companies', glob="**/*.pdf", recursive=True, use_multithreading=True)
+loader = DirectoryLoader('./example', glob="**/*.pdf", recursive=True, use_multithreading=True)
 docs = loader.load()
 vectordb = Chroma.from_documents(documents=docs, embedding=embeddings, persist_directory="companies_db")
 books_db = Chroma(persist_directory="./companies_db", embedding_function=embeddings)