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Basic vector database implementation with similarity search function using pgsql vector db extension

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Daniel-Elston/my-vector-db

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├── LICENSE <- Open-source license if one is chosen ├── Makefile <- Makefile with convenience commands like make data or make train ├── 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. │ ├── docs <- A default mkdocs project; see www.mkdocs.org for details │ ├── models <- Trained and serialized models, model predictions, or model summaries │ ├── 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. │ ├── pyproject.toml <- Project configuration file with package metadata for │ src and configuration for tools like black │ ├── references <- Data dictionaries, manuals, and all other explanatory materials. │ ├── reports <- Generated analysis as HTML, PDF, LaTeX, etc. │ └── figures <- Generated graphics and figures to be used in reporting │ ├── requirements.txt <- The requirements file for reproducing the analysis environment, e.g. │ generated with pip freeze > requirements.txt │ ├── setup.cfg <- Configuration file for flake8 │ └── src <- Source code for use in this project. │ ├── init.py <- Makes src a Python module │ ├── config.py <- Store useful variables and configuration │ ├── dataset.py <- Scripts to download or generate data │ ├── features.py <- Code to create features for modeling │ ├── modeling │ ├── init.py │ ├── predict.py <- Code to run model inference with trained models │ └── train.py <- Code to train models │ └── plots.py <- Code to create visualizations

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