Prompt Engineering - E.35| Prompt Engineering using LangChain 🦜️🔗 | RAG Documents Loading and Chunking | Ch.9 1/3

In this video, we will write the codes for the first step of building an open QnA system which is document loading and chunking. Join us to learn all about developing Questioning and Answering and Retrieval Augmented Generation (RAG) apps using LLMs and LangChain Notebook: https://colab.research.google.com/drive/1mHTius2J-xi_P_3U9d82gfPp7SpQF5fV?usp=sharing 💡 - How to load docs using Pandas 💡 - How to load docs from URLs 💡 - How to load docs from Wikipedia 💡 - How to load docs from PDFs 💡- How to load docs from Dictionaries 💡- How to split/chunk on Characters 💡- How to split/chunk using NLTK 💡- How to split/chunk using TikToken 💡 - How to split/chunk using Transformers Tokenizers Lecture: 9 Lesson: 1/3