From dc2c9dd4d7d44393bddf6903fd254b45bd1395bd Mon Sep 17 00:00:00 2001
From: hulitaitai <146365078+hulitaitai@users.noreply.github.com>
Date: Thu, 28 Mar 2024 01:13:30 +0800
Subject: [PATCH] Update text2vec.py (#19657)

Add that URL of the embedding tool "text2vec".
Fix minor mistakes in the doc-string.
---
 libs/community/langchain_community/embeddings/text2vec.py | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/libs/community/langchain_community/embeddings/text2vec.py b/libs/community/langchain_community/embeddings/text2vec.py
index 98cf5498c14..537249aa93d 100644
--- a/libs/community/langchain_community/embeddings/text2vec.py
+++ b/libs/community/langchain_community/embeddings/text2vec.py
@@ -10,6 +10,7 @@ class Text2vecEmbeddings(Embeddings, BaseModel):
     """text2vec embedding models.
 
     Install text2vec first, run 'pip install -U text2vec'.
+    The gitbub repository for text2vec is : https://github.com/shibing624/text2vec
 
     Example:
         .. code-block:: python
@@ -17,11 +18,11 @@ class Text2vecEmbeddings(Embeddings, BaseModel):
             from langchain_community.embeddings.text2vec import Text2vecEmbeddings
 
             embedding = Text2vecEmbeddings()
-            bookend.embed_documents([
+            embedding.embed_documents([
                 "This is a CoSENT(Cosine Sentence) model.",
                 "It maps sentences to a 768 dimensional dense vector space.",
             ])
-            bookend.embed_query(
+            embedding.embed_query(
                 "It can be used for text matching or semantic search."
             )
     """