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generate_chain.py — langchain Source File

Architecture documentation for generate_chain.py, a python file in the langchain codebase. 8 imports, 0 dependents.

File python CoreAbstractions Serialization 8 imports 1 classes

Entity Profile

Dependency Diagram

graph LR
  9cf0f7c3_1691_e3a0_77b2_3135f4586db1["generate_chain.py"]
  8e2034b7_ceb8_963f_29fc_2ea6b50ef9b3["typing"]
  9cf0f7c3_1691_e3a0_77b2_3135f4586db1 --> 8e2034b7_ceb8_963f_29fc_2ea6b50ef9b3
  ba43b74d_3099_7e1c_aac3_cf594720469e["langchain_core.language_models"]
  9cf0f7c3_1691_e3a0_77b2_3135f4586db1 --> ba43b74d_3099_7e1c_aac3_cf594720469e
  83d7c7fd_1989_762c_9cf3_cecb50ada22b["langchain_core.output_parsers"]
  9cf0f7c3_1691_e3a0_77b2_3135f4586db1 --> 83d7c7fd_1989_762c_9cf3_cecb50ada22b
  6e58aaea_f08e_c099_3cc7_f9567bfb1ae7["pydantic"]
  9cf0f7c3_1691_e3a0_77b2_3135f4586db1 --> 6e58aaea_f08e_c099_3cc7_f9567bfb1ae7
  91721f45_4909_e489_8c1f_084f8bd87145["typing_extensions"]
  9cf0f7c3_1691_e3a0_77b2_3135f4586db1 --> 91721f45_4909_e489_8c1f_084f8bd87145
  31974615_0d58_bd26_13f1_776e0a9d1413["langchain_classic.chains.llm"]
  9cf0f7c3_1691_e3a0_77b2_3135f4586db1 --> 31974615_0d58_bd26_13f1_776e0a9d1413
  d2bb32cf_eb63_17ba_4979_887fd2a1df9f["langchain_classic.evaluation.qa.generate_prompt"]
  9cf0f7c3_1691_e3a0_77b2_3135f4586db1 --> d2bb32cf_eb63_17ba_4979_887fd2a1df9f
  e7ae90d2_7c36_40aa_f905_386f8e995321["langchain_classic.output_parsers.regex"]
  9cf0f7c3_1691_e3a0_77b2_3135f4586db1 --> e7ae90d2_7c36_40aa_f905_386f8e995321
  style 9cf0f7c3_1691_e3a0_77b2_3135f4586db1 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

"""LLM Chain for generating examples for question answering."""

from __future__ import annotations

from typing import Any

from langchain_core.language_models import BaseLanguageModel
from langchain_core.output_parsers import BaseLLMOutputParser
from pydantic import Field
from typing_extensions import override

from langchain_classic.chains.llm import LLMChain
from langchain_classic.evaluation.qa.generate_prompt import PROMPT
from langchain_classic.output_parsers.regex import RegexParser

_QA_OUTPUT_PARSER = RegexParser(
    regex=r"QUESTION: (.*?)\n+ANSWER: (.*)",
    output_keys=["query", "answer"],
)


class QAGenerateChain(LLMChain):
    """LLM Chain for generating examples for question answering."""

    output_parser: BaseLLMOutputParser = Field(default=_QA_OUTPUT_PARSER)
    output_key: str = "qa_pairs"

    @classmethod
    @override
    def is_lc_serializable(cls) -> bool:
        return False

    @classmethod
    def from_llm(cls, llm: BaseLanguageModel, **kwargs: Any) -> QAGenerateChain:
        """Load QA Generate Chain from LLM."""
        return cls(llm=llm, prompt=PROMPT, **kwargs)

Domain

Subdomains

Classes

Dependencies

  • langchain_classic.chains.llm
  • langchain_classic.evaluation.qa.generate_prompt
  • langchain_classic.output_parsers.regex
  • langchain_core.language_models
  • langchain_core.output_parsers
  • pydantic
  • typing
  • typing_extensions

Source

Frequently Asked Questions

What does generate_chain.py do?
generate_chain.py is a source file in the langchain codebase, written in python. It belongs to the CoreAbstractions domain, Serialization subdomain.
What does generate_chain.py depend on?
generate_chain.py imports 8 module(s): langchain_classic.chains.llm, langchain_classic.evaluation.qa.generate_prompt, langchain_classic.output_parsers.regex, langchain_core.language_models, langchain_core.output_parsers, pydantic, typing, typing_extensions.
Where is generate_chain.py in the architecture?
generate_chain.py is located at libs/langchain/langchain_classic/evaluation/qa/generate_chain.py (domain: CoreAbstractions, subdomain: Serialization, directory: libs/langchain/langchain_classic/evaluation/qa).

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