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Loaders, Indexes & Vectorstores in LangChain: Question Answering on PDF files with ChatGPT
April 17, 2023, 4 p.m. | Venelin Valkov
Venelin Valkov www.youtube.com
In this tutorial, we dive deep into the functionalities of LangChain's data loaders, indexes, and vector stores. We begin by loading a basic text file and using the VectorestoreIndexCreator to run a query against it. We then move on to exploring YouTube and PDF loaders, learning how to split text and create embeddings using models from OpenAI and SentenceTransformers. To save these embeddings, we explore vector stores.
In the end, you'll learn how to ask questions …
data embeddings langchain learn loading openai pdf query save text tutorial vector youtube
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