This project aims to build an MVP to solve the following problem statement:
Build a Chatbot to perform Generative QA with indexed documents in a vector database as knowledge base
https://llm-chatbot-rbjv6s9pz7kcjrjwd4clwm.streamlit.app
Example of usage: How can i estimate rainfall?
Also works in spanish: Como puedo estimar la caida de lluvia?
├── LICENSE
├── Makefile <- WIP
├── README.md <- The top-level README for developers using this project.
├── data
│ ├── external <- Data from third party sources.
│ ├── interim <- Intermediate data that has been transformed.
│ ├── processed <- The final, canonical data sets for modeling.
│ └── raw <- The original, immutable data dump.
│
├──connectors <- Data Connectors to external sources
│
├── docs <- WIP
│
├── authentication <- Authentication implementation for streamlit appication
│
├── pages <- Pages of the streamlit application
│
├── config <- Configuration file
│
├── logs <- WIP
│
├── models <- Trained and serialized models, model predictions, or model summaries (WIP)
│
├── notebooks <- Jupyter notebooks. Naming convention is a number (for ordering),
│ the creator's initials, and a short `-` delimited description, e.g.
│ `1.0-jqp-initial-data-exploration`.
│
├── references <- Data dictionaries, manuals, and all other explanatory materials. (WIP)
│
├── reports <- WIP
│ └── figures <- WIP
│
├── requirements.txt (requirements_dev.txt) <- The requirements file for reproducing the analysis environment, e.g.
│ generated with `pip freeze > requirements.txt`
│
├── static <- Static files to be used inside the app
│
├── setup.py <- makes project pip installable (pip install -e .) so src can be imported
├── src <- Source code for use in this project.
│ ├── __init__.py <- Makes src a Python module
│ │
│ ├── data <- Scripts to download or generate data
│ │ └── make_dataset.py
│ │ └── parser.py Parser for files
│ │
│ ├── models <- Scripts to train models and then use trained models to make
│ │ │ predictions
│ │ ├── predict_model.py
│ │ └── train_model.py
│ │
│ └── visualization <- Scripts to create exploratory and results oriented visualizations
│ └── visualize.py
│
├── client_config.toml <- Customizable file for client
│
├── settings.py <- File for setting paths
│
├── streamlit_app.py <- Streamlit applicatin base
│
├── streamlit_app_pages.py <- Streamlit application splitted into pages
│
├── test_environment.py <- WIP
│
└── tox.ini <- tox file with settings for running tox; see tox.readthedocs.io
Project based on the cookiecutter data science project template. #cookiecutterdatascience