因此，我在这里尝试做的是让我的代码读取和interpet一个excel表，并使用语义搜索来使用向量和FAISS找到最接近的数据点，当我调用. getembeddings时遇到了一个问题。
这是我的代码

import os
import pandas as pd
from langchain.embeddings.openai import OpenAIEmbeddings
from langchain.text_splitter import CharacterTextSplitter
from langchain.vectorstores import FAISS 


# Set OpenAI API Key
os.environ["OPENAI_API_KEY"] = ""

# Initialize classes
embedding = OpenAIEmbeddings()

# Load data from Excel file
df = pd.read_excel('sampledata.xlsx')

# We'll use the 'Item' column for creating our vector database
texts = df['Item'].tolist()

text_splitter = CharacterTextSplitter.from_tiktoken_encoder(chunk_size=10, chunk_overlap=0)

split_texts = []
for text in texts:
    docs = text_splitter.split_text(text)
    for d in docs:
        split_texts.append(d)

# Vector DB creation
vectordb = FAISS.from_texts(texts=split_texts, embedding=embedding)  # remove persist_directory

# Query
query = "Pen"
query_vector = embedding.get_embeddings([query])

# Search
top_k = 10  # number of results to return
distances, indices = vectordb.search(query_vector, top_k)

# Print the results
for i in range(top_k):
    print(f"Item: {texts[indices[i]]}, Distance: {distances[i]}")

vectordb = None

vectordb = None

我收到的错误是

> File "c:\Users\rbalakrishnan\OneDrive - Eastside Preparatory School\Terawe\pdfreader.py", line 33, in <module>
> query_vector = embedding.get_embeddings([query])

 query_vector = embedding.get_embeddings([query])
                   ^^^^^^^^^^^^^^^^^^^^^^^^
AttributeError: 'OpenAIEmbeddings' object has no attribute 'get_embeddings'