From 76ae9da9db55230d92db6cd9daaba7706bd997b4 Mon Sep 17 00:00:00 2001
From: Wenchen Li <9028430+neo@users.noreply.github.com>
Date: Tue, 20 Jun 2023 12:36:40 +0800
Subject: [PATCH] Add `_similarity_search_with_relevance_scores` in `Pinecone`
 (#6446)

Just so it is consistent with other `VectorStore` classes.

This is a follow-up of #6056 which also discussed the potential of
adding `similarity_search_by_vector_returning_embeddings` that we will
continue the discussion here.

potentially related: #6286


#### Who can review?

Tag maintainers/contributors who might be interested: @rlancemartin

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---
 langchain/vectorstores/pinecone.py | 8 ++++++++
 1 file changed, 8 insertions(+)

diff --git a/langchain/vectorstores/pinecone.py b/langchain/vectorstores/pinecone.py
index 48ec6128..d34264dd 100644
--- a/langchain/vectorstores/pinecone.py
+++ b/langchain/vectorstores/pinecone.py
@@ -160,6 +160,14 @@ class Pinecone(VectorStore):
         )
         return [doc for doc, _ in docs_and_scores]
 
+    def _similarity_search_with_relevance_scores(
+        self,
+        query: str,
+        k: int = 4,
+        **kwargs: Any,
+    ) -> List[Tuple[Document, float]]:
+        return self.similarity_search_with_score(query, k)
+
     def max_marginal_relevance_search_by_vector(
         self,
         embedding: List[float],