QA With Jupyter NoteBook(.ipynb) powered by LangChain & Anthropic
Hello! I am a beginner developer who is greatly interested in the rapidly emerging field of LLMs.
The is my another basic starter project, created for the purpose of studying LLM prompting, Python and RAG for my own study.
Thank you for coming by, and please keep an eye out for future updates!
This project is a simple starter project that demonstrates how you can utilize LangChain and LLM model to perform Q&A on Jupyter Notebook.
git clone https://github.com/MIRACLE-cowf/QA-With-Jupyter.git
cd QA-With-Jupyter
Inisde the QA_With_Jupyter
, fill in the necessary API keys in the .env file.
Create a new folder that named src
in QA_With_Jupyter
folder, and put .ipynb
file.
Install the required libraries
pip install -r requirements.txt
python3 -m main
This project is an Agent Assistant that aims to automatically generate high-quality documents in response to user question. It conducts its own web searches and creates documents to provide answers.
Main Features
If you're interested, Check it out I'm actively seeking feedback and discussions!
This A-SQL-A
project is similarly as this QA-With-Jupyter
.
Main Features
CSV
file..csv
to .db
.If you're interested, Check it out