vectoriz 0.0.1

Python library for create a vectorize data by text or files.

RAG-vector-creator

Overview

This project implements a RAG (Retrieval-Augmented Generation) system for creating vector embeddings from documents. These embeddings can be used for efficient document retrieval and question answering applications.

Features

• Document ingestion and preprocessing
• Vector embedding generation using state-of-the-art models
• Efficient storage and retrieval of embeddings
• Integration with LLM-based generation systems

Installation

pip install -r requirements.txt
python app.py

Build lib

To build the lib run the commands:

python setup.py sdist bdist_wheel

To test the install run:

pip install .

License

MIT