agent.py
import pandas as pd import numpy as np from openai import OpenAI   # Load & clean data df = pd.read_csv(   'data.csv') df.dropna(inplace=True)   # Embeddings→VectorDB embeddings = embed(   df['text'].tolist())   # RAG + Agent agent = ReActAgent(   llm=OpenAI(),   tools=[rag_tool]) result = agent.run(   "Analyse sales")
INPUT HIDDEN OUT dfX[]npemb h1h2h3h4 AI📊 RAG · LangChain · LangGraph
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