diff --git a/libs/langchain-community/src/vectorstores/astradb.ts b/libs/langchain-community/src/vectorstores/astradb.ts
index c3fa6141dcb5..f57d4c6bd860 100644
--- a/libs/langchain-community/src/vectorstores/astradb.ts
+++ b/libs/langchain-community/src/vectorstores/astradb.ts
@@ -7,6 +7,7 @@ import {
   CreateCollectionOptions,
   Db,
   InsertManyError,
+  InsertManyOptions,
 } from "@datastax/astra-db-ts";
 
 import {
@@ -135,19 +136,22 @@ export class AstraDBVectorStore extends VectorStore {
    *
    * @param vectors Vectors to save.
    * @param documents The documents associated with the vectors.
+   * @param options Optional configuration for saving vectors:
+   *        - `ids`: An array of unique identifiers for the documents. If not provided, IDs will be auto-generated.
+   *        - `insertOptions`: Additional options to customize the `insertMany` operation (e.g., `ordered`, `bypassDocumentValidation`).
    * @returns Promise that resolves when the vectors have been added.
    */
   async addVectors(
     vectors: number[][],
     documents: Document[],
-    options?: string[]
+    options?: { ids?: string[]; insertOptions?: InsertManyOptions }
   ) {
     if (!this.collection) {
       throw new Error("Must connect to a collection before adding vectors");
     }
 
     const docs = vectors.map((embedding, idx) => ({
-      [this.idKey]: options?.[idx] ?? uuid.v4(),
+      [this.idKey]: options?.ids?.[idx] ?? uuid.v4(),
       [this.contentKey]: documents[idx].pageContent,
       $vector: embedding,
       ...documents[idx].metadata,
@@ -161,6 +165,7 @@ export class AstraDBVectorStore extends VectorStore {
     try {
       insertResults = await this.collection.insertMany(docs, {
         ordered: false,
+        ...options?.insertOptions,
       });
     } catch (error) {
       if (isInsertManyError(error)) {
@@ -192,10 +197,15 @@ export class AstraDBVectorStore extends VectorStore {
    * Method that adds documents to AstraDB.
    *
    * @param documents Array of documents to add to AstraDB.
-   * @param options Optional ids for the documents.
+   * @param options Optional configuration for saving documents:
+   *        - `ids`: An array of unique identifiers for the documents. If not provided, IDs will be auto-generated.
+   *        - `insertOptions`: Additional options to customize the `insertMany` operation (e.g., `ordered`, `bypassDocumentValidation`).
    * @returns Promise that resolves the documents have been added.
    */
-  async addDocuments(documents: Document[], options?: string[]) {
+  async addDocuments(
+    documents: Document[],
+    options?: { ids?: string[]; insertOptions?: InsertManyOptions }
+  ) {
     if (!this.collection) {
       throw new Error("Must connect to a collection before adding vectors");
     }
diff --git a/libs/langchain-community/src/vectorstores/tests/astradb.int.test.ts b/libs/langchain-community/src/vectorstores/tests/astradb.int.test.ts
index 98febdfffa48..798ab875e412 100644
--- a/libs/langchain-community/src/vectorstores/tests/astradb.int.test.ts
+++ b/libs/langchain-community/src/vectorstores/tests/astradb.int.test.ts
@@ -158,8 +158,8 @@ describe.skip("AstraDBVectorStore", () => {
       fail("Should have thrown error");
       // eslint-disable-next-line @typescript-eslint/no-explicit-any
     } catch (e: any) {
-      expect(e.message).toContain(
-        "already exists with different collection options"
+      expect(e.message).toMatch(
+        /Collection already exists.*different settings/
       );
     }
   }, 60000);
@@ -213,6 +213,7 @@ describe.skip("AstraDBVectorStore", () => {
 
     await store.addDocuments([
       { pageContent: "upserted", metadata: { a: 1, _id: "123456789" } },
+      { pageContent: "upserted", metadata: { a: 2 } },
     ]);
 
     const collection = await db.collection(astraConfig.collection);
@@ -220,4 +221,32 @@ describe.skip("AstraDBVectorStore", () => {
 
     expect(doc?.text).toEqual("upserted");
   });
+
+  test("addDocuments with insertOptions (timeout)", async () => {
+    const store = new AstraDBVectorStore(new FakeEmbeddings(), {
+      ...astraConfig,
+      collectionOptions: {
+        vector: {
+          dimension: 4,
+          metric: "cosine",
+        },
+      },
+    });
+    await store.initialize();
+
+    const documents = [
+      new Document({ pageContent: "Test document 1", metadata: { key: "value1" } }),
+      new Document({ pageContent: "Test document 2", metadata: { key: "value2" } }),
+    ];
+
+    try {
+      // Setting maxTimeMS to 1 to trigger a timeout
+      await store.addDocuments(documents, {
+        insertOptions: { maxTimeMS: 1 },
+      });
+      fail("Should have thrown timeout error");
+    } catch (e: any) {
+      expect(e.message).toContain("Command timed out");
+    }
+  });
 });