haive.agents.rag.hyde.agent
===========================

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

.. autoapi-nested-parse::

   HyDE (Hypothetical Document Embeddings) RAG Agent.

   from typing import Any
   Bridges query-document semantic gap by generating hypothetical documents.
   Implements architecture from rag-architectures-flows.md:
   Query -> Generate Hypothetical Doc -> Embed -> Retrieve Real Docs -> Generate



Classes
-------

.. autoapisummary::

   haive.agents.rag.hyde.agent.HyDERAGAgent


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

.. py:class:: HyDERAGAgent

   Bases: :py:obj:`haive.agents.multi.MultiAgent`


   HyDE RAG using hypothetical document generation for better retrieval.


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


      Create HyDE RAG from documents.

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

      :returns: HyDERAGAgent instance