SVM Retriever #

This notebook goes over how to use a retriever that under the hood uses an SVM using scikit-learn.

Largely based on https://github.com/karpathy/randomfun/blob/master/knn_vs_svm.ipynb (opens in a new tab)

from langchain.retrievers import SVMRetriever
from langchain.embeddings import OpenAIEmbeddings

# !pip install scikit-learn

Create New Retriever with Texts #

retriever = SVMRetriever.from_texts(["foo", "bar", "world", "hello", "foo bar"], OpenAIEmbeddings())

Use Retriever #

We can now use the retriever!

result = retriever.get_relevant_documents("foo")

result

[Document(page_content='foo', metadata={}),
 Document(page_content='foo bar', metadata={}),
 Document(page_content='hello', metadata={}),
 Document(page_content='world', metadata={})]

Self Query 检索器（Self Query Retriever）TF-IDF检索器（TF-IDF Retriever）