Run build, fix docs

docs/extras/modules/data_connection/vectorstores/integrations/neo4jvector.mdx

@@ -35,7 +35,7 @@ You can find more information on how to setup `Neo4j` on their [website](https:/
 
 import Example from "@examples/indexes/vector_stores/neo4j_vector/neo4j_vector.ts";
 
-One complete example of using `Neo4jVectorIndex` is the following:
+One complete example of using `Neo4jVectorStore` is the following:
 
 <CodeBlock language="typescript">{Example}</CodeBlock>
 
@@ -45,7 +45,7 @@ import RetrievalExample from "@examples/indexes/vector_stores/neo4j_vector/neo4j
 
 <CodeBlock language="typescript">{RetrievalExample}</CodeBlock>
 
-### Instantiate Neo4jVectorIndex from existing graph
+### Instantiate Neo4jVectorStore from existing graph
 
 import ExistingGraphExample from "@examples/indexes/vector_stores/neo4j_vector/neo4j_vector_existinggraph.ts";
 

examples/src/indexes/vector_stores/neo4j_vector/neo4j_vector.ts

@@ -1,5 +1,5 @@
 import { OpenAIEmbeddings } from "langchain/embeddings/openai";
-import { Neo4jVectorIndex } from "langchain/vectorstores/neo4j_vector";
+import { Neo4jVectorStore } from "langchain/vectorstores/neo4j_vector";
 
 // Configuration object for Neo4j connection and other related settings
 const config = {
@@ -19,7 +19,7 @@ const documents = [
   { pageContent: "Cat drinks milk", metadata: { a: 1 } },
 ];
 
-const neo4jVectorIndex = await Neo4jVectorIndex.fromDocuments(
+const neo4jVectorIndex = await Neo4jVectorStore.fromDocuments(
   documents,
   new OpenAIEmbeddings(),
   config
@@ -33,4 +33,4 @@ console.log(results);
   [ Document { pageContent: 'Cat drinks milk', metadata: { a: 1 } } ]
 */
 
-await Neo4jVectorIndex.close();
+await neo4jVectorIndex.close();

examples/src/indexes/vector_stores/neo4j_vector/neo4j_vector_existinggraph.ts

@@ -1,5 +1,5 @@
 import { OpenAIEmbeddings } from "langchain/embeddings/openai";
-import { Neo4jVectorIndex } from "langchain/vectorstores/neo4j_vector";
+import { Neo4jVectorStore } from "langchain/vectorstores/neo4j_vector";
 
 /**
  * `fromExistingGraph` Method:
@@ -27,9 +27,9 @@ const config = {
 };
 
 // You should have a populated Neo4j database to use this method
-const neo4jVectorIndex = await Neo4jVectorIndex.fromExistingGraph(
+const neo4jVectorIndex = await Neo4jVectorStore.fromExistingGraph(
   new OpenAIEmbeddings(),
   config
 );
 
-await Neo4jVectorIndex.close();
+await neo4jVectorIndex.close();

examples/src/indexes/vector_stores/neo4j_vector/neo4j_vector_retrieval.ts

@@ -1,5 +1,5 @@
 import { OpenAIEmbeddings } from "langchain/embeddings/openai";
-import { Neo4jVectorIndex } from "langchain/vectorstores/neo4j_vector";
+import { Neo4jVectorStore } from "langchain/vectorstores/neo4j_vector";
 
 /*
  * The retrievalQuery is a customizable Cypher query fragment used in the Neo4jVectorStore class to define how
@@ -42,7 +42,7 @@ const documents = [
   { pageContent: "Cat drinks milk", metadata: { a: 1 } },
 ];
 
-const neo4jVectorIndex = await Neo4jVectorIndex.fromDocuments(
+const neo4jVectorIndex = await Neo4jVectorStore.fromDocuments(
   documents,
   new OpenAIEmbeddings(),
   config
@@ -56,4 +56,4 @@ console.log(results);
   [ Document { pageContent: 'Cat drinks milk', metadata: { a: 2 } } ]
 */
 
-await Neo4jVectorIndex.close();
+await neo4jVectorIndex.close();

langchain/.gitignore

@@ -232,6 +232,9 @@ vectorstores/pgvector.d.ts
 vectorstores/milvus.cjs
 vectorstores/milvus.js
 vectorstores/milvus.d.ts
+vectorstores/neo4j_vector.cjs
+vectorstores/neo4j_vector.js
+vectorstores/neo4j_vector.d.ts
 vectorstores/prisma.cjs
 vectorstores/prisma.js
 vectorstores/prisma.d.ts

langchain/package.json

@@ -244,6 +244,9 @@
     "vectorstores/milvus.cjs",
     "vectorstores/milvus.js",
     "vectorstores/milvus.d.ts",
+    "vectorstores/neo4j_vector.cjs",
+    "vectorstores/neo4j_vector.js",
+    "vectorstores/neo4j_vector.d.ts",
     "vectorstores/prisma.cjs",
     "vectorstores/prisma.js",
     "vectorstores/prisma.d.ts",
@@ -1633,6 +1636,11 @@
       "import": "./vectorstores/milvus.js",
       "require": "./vectorstores/milvus.cjs"
     },
+    "./vectorstores/neo4j_vector": {
+      "types": "./vectorstores/neo4j_vector.d.ts",
+      "import": "./vectorstores/neo4j_vector.js",
+      "require": "./vectorstores/neo4j_vector.cjs"
+    },
     "./vectorstores/prisma": {
       "types": "./vectorstores/prisma.d.ts",
       "import": "./vectorstores/prisma.js",

langchain/src/load/import_constants.ts

@@ -56,6 +56,7 @@ export const optionalImportEntrypoints = [
   "langchain/vectorstores/opensearch",
   "langchain/vectorstores/pgvector",
   "langchain/vectorstores/milvus",
+  "langchain/vectorstores/neo4j_vector",
   "langchain/vectorstores/typeorm",
   "langchain/vectorstores/myscale",
   "langchain/vectorstores/redis",

langchain/src/load/import_type.d.ts

@@ -166,6 +166,9 @@ export interface OptionalImportMap {
   "langchain/vectorstores/milvus"?:
     | typeof import("../vectorstores/milvus.js")
     | Promise<typeof import("../vectorstores/milvus.js")>;
+  "langchain/vectorstores/neo4j_vector"?:
+    | typeof import("../vectorstores/neo4j_vector.js")
+    | Promise<typeof import("../vectorstores/neo4j_vector.js")>;
   "langchain/vectorstores/typeorm"?:
     | typeof import("../vectorstores/typeorm.js")
     | Promise<typeof import("../vectorstores/typeorm.js")>;

langchain/tsconfig.json

@@ -110,6 +110,7 @@
       "src/vectorstores/opensearch.ts",
       "src/vectorstores/pgvector.ts",
       "src/vectorstores/milvus.ts",
+      "src/vectorstores/neo4j_vector.ts",
       "src/vectorstores/prisma.ts",
       "src/vectorstores/typeorm.ts",
       "src/vectorstores/myscale.ts",