We show you how to build a context augmented chatbot. We use Langchain for the underlying Agent/Chatbot abstractions, and we use LlamaIndex for the data retrieval/lookup/querying! The result is a chatbot agent that has access to a rich set of “data interface” Tools that LlamaIndex provides to answer queries over your data.
https://gpt-index.readthedocs.io/en/latest/guides/tutorials/building_a_chatbot.html
Open OpenAI website(https://platform.openai.com/account/api-keys) and create key , It will use in code.
!pip3 install openai
!pip3 install llama-index
!pip3 install langchain
!pip3 install pytesseract
Here I'm using Jupyter Notebook , So run code select cell from up to down and run.
