BaşlayınÜcretsiz Başlayın

Creating graph documents

You've been provided with a document called famous_scientists containing a paragraph of text about famous scientists from the 20th century. In this exercise, you'll transform this unstructured text data into structured graph documents using LLMs!

Bu egzersiz

Retrieval Augmented Generation (RAG) with LangChain

kursunun bir parçasıdır
Kursu Görüntüle

Egzersiz talimatları

  • Define an OpenAI chat LLM that will produce maximally deterministic responses.
  • Instantiate an LLM graph transformer for converting LangChain documents into graph documents.
  • Convert the text documents (docs) to graph documents using llm_transformer.

Uygulamalı interaktif egzersiz

Bu örnek kodu tamamlayarak bu egzersizi bitirin.

# Define the LLM
llm = ____(api_key="", model="gpt-4o-mini", ____)

# Instantiate the LLM graph transformer
llm_transformer = ____

# Convert the text documents to graph documents
graph_documents = ____
print(f"Derived Nodes:\n{graph_documents[0].nodes}\n")
print(f"Derived Edges:\n{graph_documents[0].relationships}")
Kodu Düzenle ve Çalıştır