haive.agents.rag.base.agent
===========================

.. py:module:: haive.agents.rag.base.agent

.. autoapi-nested-parse::

   Base RAG Agent - retrieval-augmented generation.

   Uses OpenAI embeddings by default to avoid HuggingFace/CUDA issues.



Classes
-------

.. autoapisummary::

   haive.agents.rag.base.agent.BaseRAGAgent


Module Contents
---------------

.. py:class:: BaseRAGAgent

   Bases: :py:obj:`haive.agents.base.agent.Agent`


   Base RAG agent that performs retrieval then answers.

   Uses OpenAI embeddings + FAISS vector store by default.
   Add documents via add_documents() before querying.


   .. py:method:: add_documents(documents)

      Add documents to the vector store for retrieval.



   .. py:method:: build_graph()

      Build: retrieve -> generate answer.



   .. py:method:: compile(**kwargs)

      Compile the RAG graph.



   .. py:method:: model_post_init(__context)

      Initialize the mixin with state tracking attributes after Pydantic validation.