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How_To_Build_A_Chatbot

AIM

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.

Block - Diagram

block-diagram

References

https://gpt-index.readthedocs.io/en/latest/guides/tutorials/building_a_chatbot.html

Requirement OpenAI key

Open OpenAI website(https://platform.openai.com/account/api-keys) and create key , It will use in code.

Install some pckages on which our dependency

    !pip3 install openai

    !pip3 install llama-index 

    !pip3 install langchain
    
    !pip3 install pytesseract

To Run Code

    Here I'm using Jupyter Notebook , So run code select cell from up to down and run.

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