[LangChain] API Reference

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How to interact with LangChain programmatically using the API reference

The LangChain API reference provides a comprehensive overview of all the methods available for interacting with LangChain programmatically. The API reference is divided into the following sections:

  • Loading models: This section describes the methods available for loading models from a variety of sources, including the LangChain Model Hub, local files, and remote URLs.
  • Generating text: This section describes the methods available for generating text using LangChain models.
  • Translating languages: This section describes the methods available for translating languages using LangChain models.
  • Answering questions: This section describes the methods available for answering questions using LangChain models.

The different methods available for loading models, generating text, translating languages, and answering questions

The API reference provides a detailed description of each method available for loading models, generating text, translating languages, and answering questions. The description includes the method’s name, parameters, return value, and examples.

Using the API reference to build your own applications that use LangChain

The API reference can be used to build your own applications that use LangChain. To do this, you will need to:

  1. Load a model from the LangChain Model Hub or a local file.
  2. Use the model to generate text, translate languages, or answer questions.
  3. Save the results of your operations.

The API reference provides a number of examples that you can use to get started building your own applications that use LangChain.

here are some sample codes for the LangChain API reference:

Loading a model

import langchain

model = langchain.load_model("path/to/model")

Generating text

import langchain

model = langchain.load_model("path/to/model")

text = model.generate_text("This is a sample text.")

print(text)

Translating languages

import langchain

model = langchain.load_model("path/to/model")

text = "This is a sample text."

translated_text = model.translate(text, "en", "fr")

print(translated_text)

Answering questions

import langchain

model = langchain.load_model("path/to/model")

question = "What is the capital of France?"

answer = model.answer_question(question)

print(answer)

These are just a few examples of how you can use the LangChain API reference to interact with LangChain programmatically. For more examples, you can refer to the LangChain documentation or the LangChain GitHub repository.

https://github.com/hwchase17/langchain

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