create_extraction_chain#

langchain.chains.openai_functions.extraction.create_extraction_chain(schema: dict, llm: BaseLanguageModel, prompt: BasePromptTemplate | None = None, tags: List[str] | None = None, verbose: bool = False) โ†’ Chain[source]#

Deprecated since version 0.1.14: LangChain has introduced a method called with_structured_output thatis available on ChatModels capable of tool calling.You can read more about the method here: <https://python.langchain.com/docs/modules/model_io/chat/structured_output/>. Please follow our extraction use case documentation for more guidelineson how to do information extraction with LLMs.<https://python.langchain.com/docs/use_cases/extraction/>. If you notice other issues, please provide feedback here:<langchain-ai/langchain#18154> Use `` from langchain_core.pydantic_v1 import BaseModel, Field from langchain_anthropic import ChatAnthropic

class Joke(BaseModel):

setup: str = Field(description=โ€The setup of the jokeโ€) punchline: str = Field(description=โ€The punchline to the jokeโ€)

# Or any other chat model that supports tools. # Please reference to to the documentation of structured_output # to see an up to date list of which models support # with_structured_output. model = ChatAnthropic(model=โ€claude-3-opus-20240229โ€, temperature=0) structured_llm = model.with_structured_output(Joke) structured_llm.invoke(โ€œTell me a joke about cats.

Make sure to call the Joke function.โ€)

`` instead.

Creates a chain that extracts information from a passage.

Parameters:
  • schema (dict) โ€“ The schema of the entities to extract.

  • llm (BaseLanguageModel) โ€“ The language model to use.

  • prompt (BasePromptTemplate | None) โ€“ The prompt to use for extraction.

  • verbose (bool) โ€“ Whether to run in verbose mode. In verbose mode, some intermediate logs will be printed to the console. Defaults to the global verbose value, accessible via langchain.globals.get_verbose().

  • tags (List[str] | None) โ€“

Returns:

Chain that can be used to extract information from a passage.

Return type:

Chain