Welcome to Time Series RAG's documentation!
=========================================

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

   readme
   modules/models
   modules/rag
   modules/api
   modules/analytics
   examples/quickstart
   examples/pattern_recognition
   examples/anomaly_detection

Time Series RAG is a powerful system for time series similarity search and retrieval augmented generation.

Features
--------

* Time series embedding using statistical features and resampling
* Efficient similarity search with FAISS
* Interactive web interface with Plotly visualizations
* RESTful API for integration
* Support for metadata and context retrieval

Quick Start
----------

1. Install the package:

   .. code-block:: bash

      pip install -r requirements.txt

2. Run the web application:

   .. code-block:: bash

      python app.py

3. Access the web interface at http://localhost:50758

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

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