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Ollama query engine

OllamaQueryEnginePack #

Bases: BaseLlamaPack

Source code in llama_index/packs/ollama_query_engine/base.py 
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class OllamaQueryEnginePack(BaseLlamaPack):
    def __init__(
        self,
        model: str,
        base_url: str = DEFAULT_OLLAMA_BASE_URL,
        documents: List[Document] = None,
    ) -> None:
        self._model = model
        self._base_url = base_url
        self.llm = Ollama(model=self._model, base_url=self._base_url)

        Settings.llm = self.llm
        Settings.embed_model = OllamaEmbedding(
            model_name=self._model, base_url=self._base_url
        )
        self.index = VectorStoreIndex.from_documents(documents)

    def get_modules(self) -> Dict[str, Any]:
        """Get modules."""
        return {"llm": self.llm, "index": self.index}

    def run(self, query_str: str, **kwargs: Any) -> Any:
        """Run the pipeline."""
        query_engine = self.index.as_query_engine(**kwargs)
        return query_engine.query(query_str)

get_modules #

get_modules() -> Dict[str, Any]

Get modules.

Source code in llama_index/packs/ollama_query_engine/base.py 
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def get_modules(self) -> Dict[str, Any]:
    """Get modules."""
    return {"llm": self.llm, "index": self.index}

run #

run(query_str: str, **kwargs: Any) -> Any

Run the pipeline.

Source code in llama_index/packs/ollama_query_engine/base.py 
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def run(self, query_str: str, **kwargs: Any) -> Any:
    """Run the pipeline."""
    query_engine = self.index.as_query_engine(**kwargs)
    return query_engine.query(query_str)

options: members: - OllamaQueryEnginePack