This notebook shows how to implement a question answering system with LangChain, Deep Lake as a vector store and OpenAI embeddings. We will take the following steps to achieve this:
- Load a Deep Lake text dataset
- Initialize a Deep Lake vector store with LangChain
- Add text to the vector store
- Run queries on the database
You can also follow other tutorials such as question answering over any type of data (PDFs, json, csv, text): chatting with any data stored in Deep Lake, code understanding, or question answering over PDFs, or recommending songs.