haive.agents.rag.document_grading.agent
=======================================

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

.. autoapi-nested-parse::

   Document Grading RAG Agent.

   Iterative document grading with structured output.



Classes
-------

.. autoapisummary::

   haive.agents.rag.document_grading.agent.DocumentGradingAgent
   haive.agents.rag.document_grading.agent.DocumentGradingRAGAgent
   haive.agents.rag.document_grading.agent.SingleDocumentGrade


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

.. py:class:: DocumentGradingAgent

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


   Agent that iterates over documents and grades each one.


   .. py:method:: build_graph()

      Build document grading graph.



.. py:class:: DocumentGradingRAGAgent

   Bases: :py:obj:`haive.agents.multi.base.SequentialAgent`


   RAG with document grading and filtering.


   .. py:method:: from_documents(documents, llm_config = None, relevance_threshold = 0.7, **kwargs)
      :classmethod:


      Create Document Grading RAG from documents.



.. py:class:: SingleDocumentGrade(/, **data)

   Bases: :py:obj:`pydantic.BaseModel`


   Grade for a single document.

   Create a new model by parsing and validating input data from keyword arguments.

   Raises [`ValidationError`][pydantic_core.ValidationError] if the input data cannot be
   validated to form a valid model.

   `self` is explicitly positional-only to allow `self` as a field name.