HyDE¶

The HyDE is inspired by the paper “Precise Zero-shot Dense Retrieval without Relevance Labels”. It uses an LLM model to generate a hypothetical passage for a given query.

Module Parameters¶

llm: The query expansion node requires setting parameters related to our generator modules.

generator_module_type: The type of the generator module to use.
llm: The type of llm.
Other LLM-related parameters such as model, temperature, and max_token can be set. These are passed as keyword arguments (kwargs) to the LLM object, allowing for further customization of the LLM’s behavior.

Additional Parameters:

prompt: You can use your own custom prompt for the LLM model. Default prompt is coming from the paper “Precise Zero-shot Dense Retrieval without Relevance Labels”.

modules:
  - module_type: hyde
    generator_module_type: llama_index_llm
    llm: openai
    max_token: 64