feat(docs): add PGVectorStore (#30950)

Thank you for contributing to LangChain!

-  **Adding documentation for PGVectorStore**: 
docs: Adding documentation for the new PGVectorStore as a part of
langchain-postgres

- **Add docs**: The notebook for PGVectorStore is now added to the
directory `docs/docs/integrations`.
As a part of this change, we've also updated the VectorStore features
table and VectorStoreTabs

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>

docs/scripts/vectorstore_feat_table.py

@@ -10,6 +10,7 @@ from langchain_couchbase import CouchbaseSearchVectorStore
 from langchain_milvus import Milvus
 from langchain_mongodb import MongoDBAtlasVectorSearch
 from langchain_pinecone import PineconeVectorStore
+from langchain_postgres import PGVectorStore
 from langchain_qdrant import QdrantVectorStore
 
 vectorstore_list = [
@@ -22,6 +23,7 @@ vectorstore_list = [
 ]
 
 from_partners = [
+    ("PGVectorStore", PGVectorStore),
     ("Chroma", Chroma),
     ("AstraDBVectorStore", AstraDBVectorStore),
     ("QdrantVectorStore", QdrantVectorStore),
@@ -52,6 +54,17 @@ The table below lists the features for some of our most popular vector stores.
 
 def get_vectorstore_table():
     vectorstore_feat_table = {
+        "PGVectorStore": {
+            "Delete by ID": True,
+            "Filtering": True,
+            "similarity_search_by_vector": True,
+            "similarity_search_with_score": True,
+            "asearch": True,
+            "Passes Standard Tests": True,
+            "Multi Tenancy": False,
+            "Local/Cloud": "Local",
+            "IDs in add Documents": True,
+        },
         "FAISS": {
             "Delete by ID": True,
             "Filtering": True,

docs/src/theme/FeatureTables.js

@@ -1174,6 +1174,19 @@ const FEATURE_TABLES = {
                 local: true,
                 idsInAddDocuments: true,
             },
+            {
+              name: "PGVectorStore",
+              link: "pgvectorstore",
+              deleteById: true,
+              filtering: true,
+              searchByVector: true,
+              searchWithScore: true,
+              async: true,
+              passesStandardTests: true,
+              multiTenancy: false,
+              local: true,
+              idsInAddDocuments: true,
+            },
             {
                 name: "PineconeVectorStore",
                 link: "pinecone",

docs/src/theme/VectorStoreTabs.js

@@ -59,6 +59,13 @@ export default function VectorStoreTabs(props) {
             text: `from langchain_postgres import PGVector\n${useFakeEmbeddings ? fakeEmbeddingsString : ""}\n${vectorStoreVarName} = PGVector(\n    embeddings=embeddings,\n    collection_name="my_docs",\n    connection="postgresql+psycopg://...",\n)`,
             packageName: "langchain-postgres",
             default: false,
+        },
+        {
+          value: "PGVectorStore",
+          label: "PGVectorStore",
+          text: `from langchain_postgres import PGEngine, PGVectorStore\n${useFakeEmbeddings ? fakeEmbeddingsString : ""}\n$engine = PGEngine.from_connection_string(\n    url="postgresql+psycopg://..."\n)\n\n${vectorStoreVarName} = PGVectorStore.create_sync(\n    engine=pg_engine,\n    table_name='test_table',\n    embedding_service=embedding\n)`,
+          packageName: "langchain-postgres",
+          default: false,
       },
         {
             value: "Pinecone",