![]() Texts = text_splitter.split_documents(docs)ĭb = om_documents(texts, embeddings) Text_splitter = RecursiveCharacterTextSplitter(Ĭhunk_size=4000, chunk_overlap=0, separators= docx and draft your next deliverable with GPT-4.Īll of this functionality is powered by ~30 lines of Python, thanks to the power of LangChain: from langchain.chat_models import ChatOpenAIįrom langchain.document_loaders import GoogleDriveLoaderįrom langchain.text_splitter import RecursiveCharacterTextSplitterįrom langchain.embeddings import OpenAIEmbeddingsįrom langchain.vectorstores import Chroma Are you an academic? Build a personalized private tutor using PDFs from arXiv. Work in Finance? You could download PDFs from investor relations and ask GPT to analyze the latest data. ![]() It's hard to overstate the utility of the GPT + GDrive combo. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |