Reference - EDB Postgres® AI Lakehouse
======================================

HCP Lakehouse is a powerful tool for running analytical queries on your
data. It’s built on top of Postgres, so you can use your existing
Postgres knowledge and tools.

To get the best experience with Lakehouse, follow the :ref:`Quick start <Quick start>`  to
query benchmarking data. Then you can try loading your own data and
`query the delta lake tables <https://enterprisedb.com/docs/edb-postgres-ai/hybrid-manager/analytics/learn/how-to/query-delta-lake-tables>`_  .

This section details some of the important things to know:

- :ref:`Benchmarking datasets <Benchmarking datasets>`  

- :ref:`Queries in Lakehouse <Queries>`  

- :ref:`Delta Table tools <Delta Lake Table tools>`  

- :ref:`DirectScan and fallback modes <DirectScan and fallback modes>`  

- :ref:`Users <User management>`  

- :ref:`Loading data <Loading data>`  

- :ref:`PGAA functions reference <PGAA functions reference>`  

For information on the PGFS functions for managing storage location, see
the :ref:`AI Factory PGFS documentation <../../ai-factory/pipeline/pgfs/>`  .

.. toctree::
  :maxdepth: 3

  reference--datasets
  reference--queries
  reference--delta_tables
  reference--directscan
  reference--users
  reference--loadingdata
  reference--pgaa_functions
  reference--functions
  reference--instances