haive.agents.rag.adaptive.agent
===============================

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

.. autoapi-nested-parse::

   Adaptive RAG Agent.

   Dynamic strategy selection based on query complexity.
   Routes queries to appropriate RAG strategies.



Classes
-------

.. autoapisummary::

   haive.agents.rag.adaptive.agent.AdaptiveRAGAgent
   haive.agents.rag.adaptive.agent.QueryAnalysis


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

.. py:class:: AdaptiveRAGAgent

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


   Adaptive RAG that routes queries based on complexity.


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


      Create Adaptive RAG from documents.

      :param documents: Documents to index
      :param llm_config: Optional LLM configuration
      :param embedding_model: Optional embedding model
      :param \*\*kwargs: Additional arguments

      :returns: AdaptiveRAGAgent instance



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

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


   Analysis of query characteristics.

   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.