Extracting Structured Institution Data with LangChain
Automated Data Extraction Using LangChain and Cohere
This script demonstrates how to leverage LangChain, Cohere, and the Wikipedia API to extract structured information about institutions. By using Pydantic, we ensure the extracted data follows a strict schema for better reliability.
Required Libraries and Data Models
First, we import the necessary modules and define our data structure using a Pydantic model to store institution details such as the founder, founding year, and employee count.
from langchain_community.llms import Cohere
from langchain.prompts import PromptTemplate
from langchain_core.runnables import RunnableLambda
from pydantic import BaseModel
import wikipediaapi
class InstitutionDetails(BaseModel):
founder: str
founded:... Continue reading "Extracting Structured Institution Data with LangChain" »
English with a size of 3.45 KB