Welcome to GRAG's documentation!
================================

GRAG is a simple python package that provides an easy end-to-end solution
for implementing Retrieval Augmented Generation (RAG).

The package offers an easy way for running various LLMs locally, *Thanks to LlamaCpp*
and also supports vector stores like Chroma and DeepLake. It also makes it easy to
integrage support to any vector stores easy.

.. toctree::
   :maxdepth: 2
   :caption: Contents:

   get_started
   grag
   auto_examples_index


Indices and tables
==================

* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`