From 03911cc47986f40afaed9034b55d42b72e58006c Mon Sep 17 00:00:00 2001
From: Michael Hart <michael.hart.au@gmail.com>
Date: Fri, 29 Sep 2023 01:43:01 -0400
Subject: [PATCH] feat: Add Cloudflare Vectorize and Workers AI embeddings
 (#2740)

* Add Cloudflare Vectorize and Workers AI embeddings

* Add id options

* Make params mandatory in CloudflareWorkersAIEmbeddings constructor

* Add Vectorize/WorkersAI example to CF test exports

* Small interface tweaks, add docs

* Revert optional dep listing

* Fix typo

* Fix typo

* Update docs, fix CI

* Fix build

---------

Co-authored-by: jacoblee93 <jacoblee93@gmail.com>
---
 .../integrations/cloudflare_ai.mdx            |  43 ++++
 .../integrations/cloudflare_vectorize.mdx     |  57 +++++
 .../integrations/vercel_postgres.mdx          |   6 +-
 .../test-exports-cf/src/index.ts              |  19 +-
 .../test-exports-cf/wrangler.toml             |   9 +-
 .../cloudflare_vectorize/example.ts           |  56 +++++
 langchain/.gitignore                          |   6 +
 langchain/package.json                        |  23 +-
 langchain/scripts/create-entrypoints.js       |   4 +
 .../src/embeddings/cloudflare_workersai.ts    |  94 ++++++++
 langchain/src/load/import_constants.ts        |   2 +
 langchain/src/load/import_type.d.ts           |   6 +
 .../src/vectorstores/cloudflare_vectorize.ts  | 227 ++++++++++++++++++
 langchain/tsconfig.json                       |   2 +
 yarn.lock                                     | 219 ++++++++++++++++-
 15 files changed, 744 insertions(+), 29 deletions(-)
 create mode 100644 docs/extras/modules/data_connection/text_embedding/integrations/cloudflare_ai.mdx
 create mode 100644 docs/extras/modules/data_connection/vectorstores/integrations/cloudflare_vectorize.mdx
 create mode 100644 examples/src/indexes/vector_stores/cloudflare_vectorize/example.ts
 create mode 100644 langchain/src/embeddings/cloudflare_workersai.ts
 create mode 100644 langchain/src/vectorstores/cloudflare_vectorize.ts

diff --git a/docs/extras/modules/data_connection/text_embedding/integrations/cloudflare_ai.mdx b/docs/extras/modules/data_connection/text_embedding/integrations/cloudflare_ai.mdx
new file mode 100644
index 000000000000..060b1fd412c9
--- /dev/null
+++ b/docs/extras/modules/data_connection/text_embedding/integrations/cloudflare_ai.mdx
@@ -0,0 +1,43 @@
+---
+hide_table_of_contents: true
+---
+
+# Cloudflare Workers AI
+
+If you're deploying your project in a Cloudflare worker, you can use Cloudflare's [built-in Workers AI embeddings](https://developers.cloudflare.com/workers-ai/) with LangChain.js.
+
+## Setup
+
+First, [follow the official docs](https://developers.cloudflare.com/workers-ai/get-started/workers-wrangler/) to set up your worker.
+
+You'll also need to install the official Cloudflare AI SDK:
+
+```bash npm2yarn
+npm install @cloudflare/ai
+```
+
+## Usage
+
+Below is an example worker that uses Workers AI embeddings with a [Cloudflare Vectorize](/docs/modules/data_connection/vectorstores/integrations/cloudflare_vectorize) vectorstore.
+
+:::note
+If running locally, be sure to run wrangler as `npx wrangler dev --remote`!
+:::
+
+```toml
+name = "langchain-test"
+main = "worker.js"
+compatibility_date = "2023-09-22"
+
+[[vectorize]]
+binding = "VECTORIZE_INDEX"
+index_name = "langchain-test"
+
+[ai]
+binding = "AI"
+```
+
+import CodeBlock from "@theme/CodeBlock";
+import Example from "@examples/indexes/vector_stores/cloudflare_vectorize/example.ts";
+
+<CodeBlock language="typescript">{Example}</CodeBlock>
diff --git a/docs/extras/modules/data_connection/vectorstores/integrations/cloudflare_vectorize.mdx b/docs/extras/modules/data_connection/vectorstores/integrations/cloudflare_vectorize.mdx
new file mode 100644
index 000000000000..6b5953d71095
--- /dev/null
+++ b/docs/extras/modules/data_connection/vectorstores/integrations/cloudflare_vectorize.mdx
@@ -0,0 +1,57 @@
+---
+hide_table_of_contents: true
+---
+
+# Cloudflare Vectorize
+
+If you're deploying your project in a Cloudflare worker, you can use [Cloudflare Vectorize](https://developers.cloudflare.com/vectorize/) with LangChain.js.
+It's a powerful and convenient option that's built directly into Cloudflare.
+
+## Setup
+
+:::tip Compatibility
+Cloudflare Vectorize is currently in open beta, and requires a Cloudflare account on a paid plan to use.
+:::
+
+After [setting up your project](https://developers.cloudflare.com/vectorize/get-started/intro/#prerequisites),
+create an index by running the following Wrangler command:
+
+```bash
+$ npx wrangler vectorize create <index_name> --preset @cf/baai/bge-small-en-v1.5
+```
+
+You can see a full list of options for the `vectorize` command [in the official documentation](https://developers.cloudflare.com/workers/wrangler/commands/#vectorize).
+
+You'll then need to update your `wrangler.toml` file to include an entry for `[[vectorize]]`:
+
+```toml
+[[vectorize]]
+binding = "VECTORIZE_INDEX"
+index_name = "<index_name>"
+```
+
+## Usage
+
+Below is an example worker that adds documents to a vectorstore, queries it, or clears it depending on the path used. It also uses [Cloudflare Workers AI Embeddings](/docs/modules/data_connection/text_embedding/integrations/cloudflare_ai).
+
+:::note
+If running locally, be sure to run wrangler as `npx wrangler dev --remote`!
+:::
+
+```toml
+name = "langchain-test"
+main = "worker.js"
+compatibility_date = "2023-09-22"
+
+[[vectorize]]
+binding = "VECTORIZE_INDEX"
+index_name = "langchain-test"
+
+[ai]
+binding = "AI"
+```
+
+import CodeBlock from "@theme/CodeBlock";
+import Example from "@examples/indexes/vector_stores/cloudflare_vectorize/example.ts";
+
+<CodeBlock language="typescript">{Example}</CodeBlock>
diff --git a/docs/extras/modules/data_connection/vectorstores/integrations/vercel_postgres.mdx b/docs/extras/modules/data_connection/vectorstores/integrations/vercel_postgres.mdx
index b040142438fe..7e8166e7cd12 100644
--- a/docs/extras/modules/data_connection/vectorstores/integrations/vercel_postgres.mdx
+++ b/docs/extras/modules/data_connection/vectorstores/integrations/vercel_postgres.mdx
@@ -1,6 +1,6 @@
 # Vercel Postgres
 
-LangChain.js supports using the [`@vercel/postgres`](https://www.npmjs.com/package/@vercel/postgres) package to use to generic Postgres databases
+LangChain.js supports using the [`@vercel/postgres`](https://www.npmjs.com/package/@vercel/postgres) package to use generic Postgres databases
 as vector stores, provided they support the [`pgvector`](https://github.com/pgvector/pgvector) Postgres extension.
 
 This integration is particularly useful from web environments like Edge functions.
@@ -13,7 +13,7 @@ To work with Vercel Postgres, you need to install the `@vercel/postgres` package
 npm install @vercel/postgres
 ```
 
-This integration automatically connects using the connection string set under `process.env.POSTGRES_URL`. 
+This integration automatically connects using the connection string set under `process.env.POSTGRES_URL`.
 You can also pass a connection string manually like this:
 
 ```typescript
@@ -29,7 +29,7 @@ const vectorstore = await VercelPostgres.initialize(
 
 ### Connecting to Vercel Postgres
 
-A simple way to get started is to create a serverless [Vercel Postgres instance](https://vercel.com/docs/storage/vercel-postgres/quickstart). 
+A simple way to get started is to create a serverless [Vercel Postgres instance](https://vercel.com/docs/storage/vercel-postgres/quickstart).
 If you're deploying to a Vercel project with an associated Vercel Postgres instance, the required `POSTGRES_URL` environment variable
 will already be populated in hosted environments.
 
diff --git a/environment_tests/test-exports-cf/src/index.ts b/environment_tests/test-exports-cf/src/index.ts
index 906974a6cdb9..81e9fec2c3bf 100644
--- a/environment_tests/test-exports-cf/src/index.ts
+++ b/environment_tests/test-exports-cf/src/index.ts
@@ -36,17 +36,16 @@ export default {
     env: Env,
     ctx: ExecutionContext
   ): Promise<Response> {
-
-    const constructorParameters
-      = env.AZURE_OPENAI_API_KEY ? {
-        azureOpenAIApiKey: env.AZURE_OPENAI_API_KEY,
-        azureOpenAIApiInstanceName: env.AZURE_OPENAI_API_INSTANCE_NAME,
-        azureOpenAIApiDeploymentName: env.AZURE_OPENAI_API_DEPLOYMENT_NAME,
-        azureOpenAIApiVersion: env.AZURE_OPENAI_API_VERSION,
-      }
+    const constructorParameters = env.AZURE_OPENAI_API_KEY
+      ? {
+          azureOpenAIApiKey: env.AZURE_OPENAI_API_KEY,
+          azureOpenAIApiInstanceName: env.AZURE_OPENAI_API_INSTANCE_NAME,
+          azureOpenAIApiDeploymentName: env.AZURE_OPENAI_API_DEPLOYMENT_NAME,
+          azureOpenAIApiVersion: env.AZURE_OPENAI_API_VERSION,
+        }
       : {
-        openAIApiKey: env.OPENAI_API_KEY,
-      }
+          openAIApiKey: env.OPENAI_API_KEY,
+        };
 
     // Intantiate a few things to test the exports
     new OpenAI(constructorParameters);
diff --git a/environment_tests/test-exports-cf/wrangler.toml b/environment_tests/test-exports-cf/wrangler.toml
index f1caece42e64..a30700992e7f 100644
--- a/environment_tests/test-exports-cf/wrangler.toml
+++ b/environment_tests/test-exports-cf/wrangler.toml
@@ -1,3 +1,10 @@
 name = "test-exports-cf"
 main = "src/index.ts"
-compatibility_date = "2023-04-05"
+compatibility_date = "2023-09-22"
+
+[[vectorize]]
+binding = "VECTORIZE_INDEX"
+index_name = "langchain-test"
+
+[ai]
+binding = "AI"
diff --git a/examples/src/indexes/vector_stores/cloudflare_vectorize/example.ts b/examples/src/indexes/vector_stores/cloudflare_vectorize/example.ts
new file mode 100644
index 000000000000..009744df3db6
--- /dev/null
+++ b/examples/src/indexes/vector_stores/cloudflare_vectorize/example.ts
@@ -0,0 +1,56 @@
+import type {
+  VectorizeIndex,
+  Fetcher,
+  Request,
+} from "@cloudflare/workers-types";
+
+import { CloudflareVectorizeStore } from "langchain/vectorstores/cloudflare_vectorize";
+import { CloudflareWorkersAIEmbeddings } from "langchain/embeddings/cloudflare_workersai";
+
+export interface Env {
+  VECTORIZE_INDEX: VectorizeIndex;
+  AI: Fetcher;
+}
+
+export default {
+  async fetch(request: Request, env: Env) {
+    const { pathname } = new URL(request.url);
+    const embeddings = new CloudflareWorkersAIEmbeddings({
+      binding: env.AI,
+      modelName: "@cf/baai/bge-small-en-v1.5",
+    });
+    const store = new CloudflareVectorizeStore(embeddings, {
+      index: env.VECTORIZE_INDEX,
+    });
+    if (pathname === "/") {
+      const results = await store.similaritySearch("hello", 5);
+      return Response.json(results);
+    } else if (pathname === "/load") {
+      // Upsertion by id is supported
+      await store.addDocuments(
+        [
+          {
+            pageContent: "hello",
+            metadata: {},
+          },
+          {
+            pageContent: "world",
+            metadata: {},
+          },
+          {
+            pageContent: "hi",
+            metadata: {},
+          },
+        ],
+        { ids: ["id1", "id2", "id3"] }
+      );
+
+      return Response.json({ success: true });
+    } else if (pathname === "/clear") {
+      await store.delete({ ids: ["id1", "id2", "id3"] });
+      return Response.json({ success: true });
+    }
+
+    return Response.json({ error: "Not Found" }, { status: 404 });
+  },
+};
diff --git a/langchain/.gitignore b/langchain/.gitignore
index 01e4fb1b533b..d3c53bdd107c 100644
--- a/langchain/.gitignore
+++ b/langchain/.gitignore
@@ -64,6 +64,9 @@ embeddings/base.d.ts
 embeddings/cache_backed.cjs
 embeddings/cache_backed.js
 embeddings/cache_backed.d.ts
+embeddings/cloudflare_workersai.cjs
+embeddings/cloudflare_workersai.js
+embeddings/cloudflare_workersai.d.ts
 embeddings/fake.cjs
 embeddings/fake.js
 embeddings/fake.d.ts
@@ -166,6 +169,9 @@ vectorstores/elasticsearch.d.ts
 vectorstores/memory.cjs
 vectorstores/memory.js
 vectorstores/memory.d.ts
+vectorstores/cloudflare_vectorize.cjs
+vectorstores/cloudflare_vectorize.js
+vectorstores/cloudflare_vectorize.d.ts
 vectorstores/chroma.cjs
 vectorstores/chroma.js
 vectorstores/chroma.d.ts
diff --git a/langchain/package.json b/langchain/package.json
index 5ec4d0542582..19f911a33505 100644
--- a/langchain/package.json
+++ b/langchain/package.json
@@ -76,6 +76,9 @@
     "embeddings/cache_backed.cjs",
     "embeddings/cache_backed.js",
     "embeddings/cache_backed.d.ts",
+    "embeddings/cloudflare_workersai.cjs",
+    "embeddings/cloudflare_workersai.js",
+    "embeddings/cloudflare_workersai.d.ts",
     "embeddings/fake.cjs",
     "embeddings/fake.js",
     "embeddings/fake.d.ts",
@@ -178,6 +181,9 @@
     "vectorstores/memory.cjs",
     "vectorstores/memory.js",
     "vectorstores/memory.d.ts",
+    "vectorstores/cloudflare_vectorize.cjs",
+    "vectorstores/cloudflare_vectorize.js",
+    "vectorstores/cloudflare_vectorize.d.ts",
     "vectorstores/chroma.cjs",
     "vectorstores/chroma.js",
     "vectorstores/chroma.d.ts",
@@ -668,7 +674,8 @@
     "@aws-sdk/types": "^3.357.0",
     "@azure/storage-blob": "^12.15.0",
     "@clickhouse/client": "^0.0.14",
-    "@cloudflare/workers-types": "^4.20230904.0",
+    "@cloudflare/ai": "^1.0.12",
+    "@cloudflare/workers-types": "^4.20230922.0",
     "@elastic/elasticsearch": "^8.4.0",
     "@faker-js/faker": "^7.6.0",
     "@getmetal/metal-sdk": "^4.0.0",
@@ -789,7 +796,7 @@
     "@aws-sdk/credential-provider-node": "^3.388.0",
     "@azure/storage-blob": "^12.15.0",
     "@clickhouse/client": "^0.0.14",
-    "@cloudflare/workers-types": "^4.20230904.0",
+    "@cloudflare/ai": "^1.0.12",
     "@elastic/elasticsearch": "^8.4.0",
     "@getmetal/metal-sdk": "*",
     "@getzep/zep-js": "^0.7.0",
@@ -893,7 +900,7 @@
     "@clickhouse/client": {
       "optional": true
     },
-    "@cloudflare/workers-types": {
+    "@cloudflare/ai": {
       "optional": true
     },
     "@elastic/elasticsearch": {
@@ -1262,6 +1269,11 @@
       "import": "./embeddings/cache_backed.js",
       "require": "./embeddings/cache_backed.cjs"
     },
+    "./embeddings/cloudflare_workersai": {
+      "types": "./embeddings/cloudflare_workersai.d.ts",
+      "import": "./embeddings/cloudflare_workersai.js",
+      "require": "./embeddings/cloudflare_workersai.cjs"
+    },
     "./embeddings/fake": {
       "types": "./embeddings/fake.d.ts",
       "import": "./embeddings/fake.js",
@@ -1432,6 +1444,11 @@
       "import": "./vectorstores/memory.js",
       "require": "./vectorstores/memory.cjs"
     },
+    "./vectorstores/cloudflare_vectorize": {
+      "types": "./vectorstores/cloudflare_vectorize.d.ts",
+      "import": "./vectorstores/cloudflare_vectorize.js",
+      "require": "./vectorstores/cloudflare_vectorize.cjs"
+    },
     "./vectorstores/chroma": {
       "types": "./vectorstores/chroma.d.ts",
       "import": "./vectorstores/chroma.js",
diff --git a/langchain/scripts/create-entrypoints.js b/langchain/scripts/create-entrypoints.js
index e66dee376395..bb0251045332 100644
--- a/langchain/scripts/create-entrypoints.js
+++ b/langchain/scripts/create-entrypoints.js
@@ -35,6 +35,7 @@ const entrypoints = {
   // embeddings
   "embeddings/base": "embeddings/base",
   "embeddings/cache_backed": "embeddings/cache_backed",
+  "embeddings/cloudflare_workersai": "embeddings/cloudflare_workersai",
   "embeddings/fake": "embeddings/fake",
   "embeddings/ollama": "embeddings/ollama",
   "embeddings/openai": "embeddings/openai",
@@ -72,6 +73,7 @@ const entrypoints = {
   "vectorstores/base": "vectorstores/base",
   "vectorstores/elasticsearch": "vectorstores/elasticsearch",
   "vectorstores/memory": "vectorstores/memory",
+  "vectorstores/cloudflare_vectorize": "vectorstores/cloudflare_vectorize",
   "vectorstores/chroma": "vectorstores/chroma",
   "vectorstores/googlevertexai": "vectorstores/googlevertexai",
   "vectorstores/hnswlib": "vectorstores/hnswlib",
@@ -280,6 +282,7 @@ const requiresOptionalDependency = [
   "callbacks/handlers/llmonitor",
   "chains/load",
   "chains/sql_db",
+  "embeddings/cloudflare_workersai",
   "embeddings/cohere",
   "embeddings/googlevertexai",
   "embeddings/googlepalm",
@@ -301,6 +304,7 @@ const requiresOptionalDependency = [
   "prompts/load",
   "vectorstores/analyticdb",
   "vectorstores/chroma",
+  "vectorstores/cloudflare_vectorize",
   "vectorstores/googlevertexai",
   "vectorstores/elasticsearch",
   "vectorstores/hnswlib",
diff --git a/langchain/src/embeddings/cloudflare_workersai.ts b/langchain/src/embeddings/cloudflare_workersai.ts
new file mode 100644
index 000000000000..191213dfbf5f
--- /dev/null
+++ b/langchain/src/embeddings/cloudflare_workersai.ts
@@ -0,0 +1,94 @@
+import { Ai } from "@cloudflare/ai";
+import { Fetcher } from "@cloudflare/workers-types";
+import { chunkArray } from "../util/chunk.js";
+import { Embeddings, EmbeddingsParams } from "./base.js";
+
+type AiTextEmbeddingsInput = {
+  text: string | string[];
+};
+
+type AiTextEmbeddingsOutput = {
+  shape: number[];
+  data: number[][];
+};
+
+export interface CloudflareWorkersAIEmbeddingsParams extends EmbeddingsParams {
+  /** Binding */
+  binding: Fetcher;
+
+  /** Model name to use */
+  modelName?: string;
+
+  /**
+   * The maximum number of documents to embed in a single request.
+   */
+  batchSize?: number;
+
+  /**
+   * Whether to strip new lines from the input text. This is recommended by
+   * OpenAI, but may not be suitable for all use cases.
+   */
+  stripNewLines?: boolean;
+}
+
+export class CloudflareWorkersAIEmbeddings extends Embeddings {
+  modelName = "@cf/baai/bge-base-en-v1.5";
+
+  batchSize = 50;
+
+  stripNewLines = true;
+
+  ai: Ai;
+
+  constructor(fields: CloudflareWorkersAIEmbeddingsParams) {
+    super(fields);
+
+    if (!fields.binding) {
+      throw new Error(
+        "Must supply a Workers AI binding, eg { binding: env.AI }"
+      );
+    }
+    this.ai = new Ai(fields.binding);
+    this.modelName = fields.modelName ?? this.modelName;
+    this.stripNewLines = fields.stripNewLines ?? this.stripNewLines;
+  }
+
+  async embedDocuments(texts: string[]): Promise<number[][]> {
+    const batches = chunkArray(
+      this.stripNewLines ? texts.map((t) => t.replace(/\n/g, " ")) : texts,
+      this.batchSize
+    );
+
+    const batchRequests = batches.map((batch) => this.runEmbedding(batch));
+    const batchResponses = await Promise.all(batchRequests);
+    const embeddings: number[][] = [];
+
+    for (let i = 0; i < batchResponses.length; i += 1) {
+      const batchResponse = batchResponses[i];
+      for (let j = 0; j < batchResponse.length; j += 1) {
+        embeddings.push(batchResponse[j]);
+      }
+    }
+
+    return embeddings;
+  }
+
+  async embedQuery(text: string): Promise<number[]> {
+    const data = await this.runEmbedding([
+      this.stripNewLines ? text.replace(/\n/g, " ") : text,
+    ]);
+    return data[0];
+  }
+
+  private async runEmbedding(texts: string[]) {
+    return this.caller.call(async () => {
+      const response: AiTextEmbeddingsOutput = await this.ai.run(
+        this.modelName,
+        {
+          text: texts,
+        } as AiTextEmbeddingsInput
+      );
+      return response.data;
+    });
+  }
+}
diff --git a/langchain/src/load/import_constants.ts b/langchain/src/load/import_constants.ts
index 82cb0a4fab50..1139b3ccb149 100644
--- a/langchain/src/load/import_constants.ts
+++ b/langchain/src/load/import_constants.ts
@@ -13,6 +13,7 @@ export const optionalImportEntrypoints = [
   "langchain/chains/query_constructor",
   "langchain/chains/query_constructor/ir",
   "langchain/chains/sql_db",
+  "langchain/embeddings/cloudflare_workersai",
   "langchain/embeddings/cohere",
   "langchain/embeddings/tensorflow",
   "langchain/embeddings/hf",
@@ -34,6 +35,7 @@ export const optionalImportEntrypoints = [
   "langchain/prompts/load",
   "langchain/vectorstores/analyticdb",
   "langchain/vectorstores/elasticsearch",
+  "langchain/vectorstores/cloudflare_vectorize",
   "langchain/vectorstores/chroma",
   "langchain/vectorstores/googlevertexai",
   "langchain/vectorstores/hnswlib",
diff --git a/langchain/src/load/import_type.d.ts b/langchain/src/load/import_type.d.ts
index 3d9b50cd9777..c7d4747ada31 100644
--- a/langchain/src/load/import_type.d.ts
+++ b/langchain/src/load/import_type.d.ts
@@ -37,6 +37,9 @@ export interface OptionalImportMap {
   "langchain/chains/sql_db"?:
     | typeof import("../chains/sql_db/index.js")
     | Promise<typeof import("../chains/sql_db/index.js")>;
+  "langchain/embeddings/cloudflare_workersai"?:
+    | typeof import("../embeddings/cloudflare_workersai.js")
+    | Promise<typeof import("../embeddings/cloudflare_workersai.js")>;
   "langchain/embeddings/cohere"?:
     | typeof import("../embeddings/cohere.js")
     | Promise<typeof import("../embeddings/cohere.js")>;
@@ -100,6 +103,9 @@ export interface OptionalImportMap {
   "langchain/vectorstores/elasticsearch"?:
     | typeof import("../vectorstores/elasticsearch.js")
     | Promise<typeof import("../vectorstores/elasticsearch.js")>;
+  "langchain/vectorstores/cloudflare_vectorize"?:
+    | typeof import("../vectorstores/cloudflare_vectorize.js")
+    | Promise<typeof import("../vectorstores/cloudflare_vectorize.js")>;
   "langchain/vectorstores/chroma"?:
     | typeof import("../vectorstores/chroma.js")
     | Promise<typeof import("../vectorstores/chroma.js")>;
diff --git a/langchain/src/vectorstores/cloudflare_vectorize.ts b/langchain/src/vectorstores/cloudflare_vectorize.ts
new file mode 100644
index 000000000000..8a5babf49b1f
--- /dev/null
+++ b/langchain/src/vectorstores/cloudflare_vectorize.ts
@@ -0,0 +1,227 @@
+import * as uuid from "uuid";
+
+import {
+  VectorizeIndex,
+  VectorizeVectorMetadata,
+} from "@cloudflare/workers-types";
+import { VectorStore } from "./base.js";
+import { Embeddings } from "../embeddings/base.js";
+import { Document } from "../document.js";
+import { chunkArray } from "../util/chunk.js";
+import { AsyncCaller, type AsyncCallerParams } from "../util/async_caller.js";
+
+export interface VectorizeLibArgs extends AsyncCallerParams {
+  index: VectorizeIndex;
+  textKey?: string;
+}
+
+/**
+ * Type that defines the parameters for the delete operation in the
+ * CloudflareVectorizeStore class. It includes ids, deleteAll flag, and namespace.
+ */
+export type VectorizeDeleteParams = {
+  ids: string[];
+};
+
+/**
+ * Class that extends the VectorStore class and provides methods to
+ * interact with the Cloudflare Vectorize vector database.
+ */
+export class CloudflareVectorizeStore extends VectorStore {
+  textKey: string;
+
+  namespace?: string;
+
+  index: VectorizeIndex;
+
+  caller: AsyncCaller;
+
+  _vectorstoreType(): string {
+    return "cloudflare_vectorize";
+  }
+
+  constructor(embeddings: Embeddings, args: VectorizeLibArgs) {
+    super(embeddings, args);
+
+    this.embeddings = embeddings;
+    const { index, textKey, ...asyncCallerArgs } = args;
+    if (!index) {
+      throw new Error(
+        "Must supply a Vectorize index binding, eg { index: env.VECTORIZE }"
+      );
+    }
+    this.index = index;
+    this.textKey = textKey ?? "text";
+    this.caller = new AsyncCaller({
+      maxConcurrency: 6,
+      maxRetries: 0,
+      ...asyncCallerArgs,
+    });
+  }
+
+  /**
+   * Method that adds documents to the Vectorize database.
+   * @param documents Array of documents to add.
+   * @param options Optional ids for the documents.
+   * @returns Promise that resolves with the ids of the added documents.
+   */
+  async addDocuments(
+    documents: Document[],
+    options?: { ids?: string[] } | string[]
+  ) {
+    const texts = documents.map(({ pageContent }) => pageContent);
+    return this.addVectors(
+      await this.embeddings.embedDocuments(texts),
+      documents,
+      options
+    );
+  }
+
+  /**
+   * Method that adds vectors to the Vectorize database.
+   * @param vectors Array of vectors to add.
+   * @param documents Array of documents associated with the vectors.
+   * @param options Optional ids for the vectors.
+   * @returns Promise that resolves with the ids of the added vectors.
+   */
+  async addVectors(
+    vectors: number[][],
+    documents: Document[],
+    options?: { ids?: string[] } | string[]
+  ) {
+    const ids = Array.isArray(options) ? options : options?.ids;
+    const documentIds = ids == null ? documents.map(() => uuid.v4()) : ids;
+    const vectorizeVectors = vectors.map((values, idx) => {
+      const metadata: Record<string, VectorizeVectorMetadata> = {
+        ...documents[idx].metadata,
+        [this.textKey]: documents[idx].pageContent,
+      };
+      return {
+        id: documentIds[idx],
+        metadata,
+        values,
+      };
+    });
+
+    // Stick to a limit of 500 vectors per upsert request
+    const chunkSize = 500;
+    const chunkedVectors = chunkArray(vectorizeVectors, chunkSize);
+    const batchRequests = chunkedVectors.map((chunk) =>
+      this.caller.call(async () => this.index.upsert(chunk))
+    );
+
+    await Promise.all(batchRequests);
+
+    return documentIds;
+  }
+
+  /**
+   * Method that deletes vectors from the Vectorize database.
+   * @param params Parameters for the delete operation.
+   * @returns Promise that resolves when the delete operation is complete.
+   */
+  async delete(params: VectorizeDeleteParams): Promise<void> {
+    const batchSize = 1000;
+    const batchedIds = chunkArray(params.ids, batchSize);
+    const batchRequests = batchedIds.map((batchIds) =>
+      this.caller.call(async () => this.index.deleteByIds(batchIds))
+    );
+    await Promise.all(batchRequests);
+  }
+
+  /**
+   * Method that performs a similarity search in the Vectorize database and
+   * returns the results along with their scores.
+   * @param query Query vector for the similarity search.
+   * @param k Number of top results to return.
+   * @returns Promise that resolves with an array of documents and their scores.
+   */
+  async similaritySearchVectorWithScore(
+    query: number[],
+    k: number
+  ): Promise<[Document, number][]> {
+    const results = await this.index.query(query, {
+      returnVectors: true,
+      topK: k,
+    });
+
+    const result: [Document, number][] = [];
+
+    if (results.matches) {
+      for (const res of results.matches) {
+        const { [this.textKey]: pageContent, ...metadata } =
+          res.vector?.metadata ?? {};
+        result.push([
+          new Document({ metadata, pageContent: pageContent as string }),
+          res.score,
+        ]);
+      }
+    }
+
+    return result;
+  }
+
+  /**
+   * Static method that creates a new instance of the CloudflareVectorizeStore class
+   * from texts.
+   * @param texts Array of texts to add to the Vectorize database.
+   * @param metadatas Metadata associated with the texts.
+   * @param embeddings Embeddings to use for the texts.
+   * @param dbConfig Configuration for the Vectorize database.
+   * @param options Optional ids for the vectors.
+   * @returns Promise that resolves with a new instance of the CloudflareVectorizeStore class.
+   */
+  static async fromTexts(
+    texts: string[],
+    metadatas:
+      | Record<string, VectorizeVectorMetadata>[]
+      | Record<string, VectorizeVectorMetadata>,
+    embeddings: Embeddings,
+    dbConfig: VectorizeLibArgs
+  ): Promise<CloudflareVectorizeStore> {
+    const docs: Document[] = [];
+    for (let i = 0; i < texts.length; i += 1) {
+      const metadata = Array.isArray(metadatas) ? metadatas[i] : metadatas;
+      const newDoc = new Document({
+        pageContent: texts[i],
+        metadata,
+      });
+      docs.push(newDoc);
+    }
+    return CloudflareVectorizeStore.fromDocuments(docs, embeddings, dbConfig);
+  }
+
+  /**
+   * Static method that creates a new instance of the CloudflareVectorizeStore class
+   * from documents.
+   * @param docs Array of documents to add to the Vectorize database.
+   * @param embeddings Embeddings to use for the documents.
+   * @param dbConfig Configuration for the Vectorize database.
+   * @param options Optional ids for the vectors.
+   * @returns Promise that resolves with a new instance of the CloudflareVectorizeStore class.
+   */
+  static async fromDocuments(
+    docs: Document[],
+    embeddings: Embeddings,
+    dbConfig: VectorizeLibArgs
+  ): Promise<CloudflareVectorizeStore> {
+    const instance = new this(embeddings, dbConfig);
+    await instance.addDocuments(docs);
+    return instance;
+  }
+
+  /**
+   * Static method that creates a new instance of the CloudflareVectorizeStore class
+   * from an existing index.
+   * @param embeddings Embeddings to use for the documents.
+   * @param dbConfig Configuration for the Vectorize database.
+   * @returns Promise that resolves with a new instance of the CloudflareVectorizeStore class.
+   */
+  static async fromExistingIndex(
+    embeddings: Embeddings,
+    dbConfig: VectorizeLibArgs
+  ): Promise<CloudflareVectorizeStore> {
+    const instance = new this(embeddings, dbConfig);
+    return instance;
+  }
+}
diff --git a/langchain/tsconfig.json b/langchain/tsconfig.json
index 0577a55113b1..311636a62339 100644
--- a/langchain/tsconfig.json
+++ b/langchain/tsconfig.json
@@ -54,6 +54,7 @@
       "src/chains/sql_db/index.ts",
       "src/embeddings/base.ts",
       "src/embeddings/cache_backed.ts",
+      "src/embeddings/cloudflare_workersai.ts",
       "src/embeddings/fake.ts",
       "src/embeddings/ollama.ts",
       "src/embeddings/openai.ts",
@@ -88,6 +89,7 @@
       "src/vectorstores/base.ts",
       "src/vectorstores/elasticsearch.ts",
       "src/vectorstores/memory.ts",
+      "src/vectorstores/cloudflare_vectorize.ts",
       "src/vectorstores/chroma.ts",
       "src/vectorstores/googlevertexai.ts",
       "src/vectorstores/hnswlib.ts",
diff --git a/yarn.lock b/yarn.lock
index 9686f205f884..fbd1d927646d 100644
--- a/yarn.lock
+++ b/yarn.lock
@@ -3578,6 +3578,18 @@ __metadata:
   languageName: node
   linkType: hard
 
+"@bcherny/json-schema-ref-parser@npm:10.0.5-fork":
+  version: 10.0.5-fork
+  resolution: "@bcherny/json-schema-ref-parser@npm:10.0.5-fork"
+  dependencies:
+    "@jsdevtools/ono": ^7.1.3
+    "@types/json-schema": ^7.0.6
+    call-me-maybe: ^1.0.1
+    js-yaml: ^4.1.0
+  checksum: e90eb3655c4e15f54ebc5138baac98471d159e3a253b484416c03c2d43f5c3bc80a4d6fe18acd71f77bf2f95f7fbc36730abb21cbd1f9d80a6af630c554e6d62
+  languageName: node
+  linkType: hard
+
 "@bcoe/v8-coverage@npm:^0.2.3":
   version: 0.2.3
   resolution: "@bcoe/v8-coverage@npm:0.2.3"
@@ -3595,10 +3607,19 @@ __metadata:
   languageName: node
   linkType: hard
 
-"@cloudflare/workers-types@npm:^4.20230904.0":
-  version: 4.20230904.0
-  resolution: "@cloudflare/workers-types@npm:4.20230904.0"
-  checksum: 4cfe7dd7419716233dad0937766d7b33ee709b12578d0def7cee8b005e79142f22f8675a40119957448073aff416e8376a768115af420b7f54d11635a6cb38a2
+"@cloudflare/ai@npm:^1.0.12":
+  version: 1.0.12
+  resolution: "@cloudflare/ai@npm:1.0.12"
+  dependencies:
+    json-schema-to-typescript: ^13.1.1
+  checksum: bf196acd46ec8a39973aa74346ec9404a018a6599c9c65037e252bebbd648d936dbff6b4848717f9539bfd024826803a857df88ed138fa7ab697a4fafe41d966
+  languageName: node
+  linkType: hard
+
+"@cloudflare/workers-types@npm:^4.20230922.0":
+  version: 4.20230922.0
+  resolution: "@cloudflare/workers-types@npm:4.20230922.0"
+  checksum: 629bab47cdbcb74e3c42fc9486f5186734b6dd734154cea7a0983ad83ee053b4fb1ae13ff618a7287612bc3b3d19ad72d6a34a84289a903623cb8a13af57596b
   languageName: node
   linkType: hard
 
@@ -4640,6 +4661,13 @@ __metadata:
   languageName: node
   linkType: hard
 
+"@jsdevtools/ono@npm:^7.1.3":
+  version: 7.1.3
+  resolution: "@jsdevtools/ono@npm:7.1.3"
+  checksum: 2297fcd472ba810bffe8519d2249171132844c7174f3a16634f9260761c8c78bc0428a4190b5b6d72d45673c13918ab9844d706c3ed4ef8f62ab11a2627a08ad
+  languageName: node
+  linkType: hard
+
 "@jsdoc/salty@npm:^0.2.1":
   version: 0.2.5
   resolution: "@jsdoc/salty@npm:0.2.5"
@@ -6408,6 +6436,16 @@ __metadata:
   languageName: node
   linkType: hard
 
+"@types/glob@npm:^7.1.3":
+  version: 7.2.0
+  resolution: "@types/glob@npm:7.2.0"
+  dependencies:
+    "@types/minimatch": "*"
+    "@types/node": "*"
+  checksum: 6ae717fedfdfdad25f3d5a568323926c64f52ef35897bcac8aca8e19bc50c0bd84630bbd063e5d52078b2137d8e7d3c26eabebd1a2f03ff350fff8a91e79fc19
+  languageName: node
+  linkType: hard
+
 "@types/google-protobuf@npm:3.15.6":
   version: 3.15.6
   resolution: "@types/google-protobuf@npm:3.15.6"
@@ -6498,6 +6536,13 @@ __metadata:
   languageName: node
   linkType: hard
 
+"@types/json-schema@npm:^7.0.11, @types/json-schema@npm:^7.0.6":
+  version: 7.0.13
+  resolution: "@types/json-schema@npm:7.0.13"
+  checksum: 345df21a678fa72fb389f35f33de77833d09d4a142bb2bcb27c18690efa4cf70fc2876e43843cefb3fbdb9fcb12cd3e970a90936df30f53bbee899865ff605ab
+  languageName: node
+  linkType: hard
+
 "@types/json-schema@npm:^7.0.9":
   version: 7.0.11
   resolution: "@types/json-schema@npm:7.0.11"
@@ -6537,6 +6582,13 @@ __metadata:
   languageName: node
   linkType: hard
 
+"@types/lodash@npm:^4.14.182":
+  version: 4.14.199
+  resolution: "@types/lodash@npm:4.14.199"
+  checksum: e68d1fcbbfce953ed87b296a628573f62939227bcda0c934954e862b421e8a34c5e71cad6fea27b9980567909e6a4698f09025692958e36d64ea9ed99ec6fb2e
+  languageName: node
+  linkType: hard
+
 "@types/long@npm:^4.0.0, @types/long@npm:^4.0.1":
   version: 4.0.2
   resolution: "@types/long@npm:4.0.2"
@@ -6568,7 +6620,7 @@ __metadata:
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-"@types/minimatch@npm:^5.1.2":
+"@types/minimatch@npm:*, @types/minimatch@npm:^5.1.2":
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   resolution: "@types/minimatch@npm:5.1.2"
   checksum: 0391a282860c7cb6fe262c12b99564732401bdaa5e395bee9ca323c312c1a0f45efbf34dce974682036e857db59a5c9b1da522f3d6055aeead7097264c8705a8
@@ -6708,6 +6760,13 @@ __metadata:
   languageName: node
   linkType: hard
 
+"@types/prettier@npm:^2.6.1":
+  version: 2.7.3
+  resolution: "@types/prettier@npm:2.7.3"
+  checksum: 705384209cea6d1433ff6c187c80dcc0b95d99d5c5ce21a46a9a58060c527973506822e428789d842761e0280d25e3359300f017fbe77b9755bc772ab3dc2f83
+  languageName: node
+  linkType: hard
+
 "@types/prop-types@npm:*":
   version: 15.7.5
   resolution: "@types/prop-types@npm:15.7.5"
@@ -8183,6 +8242,13 @@ __metadata:
   languageName: node
   linkType: hard
 
+"call-me-maybe@npm:^1.0.1":
+  version: 1.0.2
+  resolution: "call-me-maybe@npm:1.0.2"
+  checksum: 42ff2d0bed5b207e3f0122589162eaaa47ba618f79ad2382fe0ba14d9e49fbf901099a6227440acc5946f86a4953e8aa2d242b330b0a5de4d090bb18f8935cae
+  languageName: node
+  linkType: hard
+
 "callsites@npm:^3.0.0, callsites@npm:^3.1.0":
   version: 3.1.0
   resolution: "callsites@npm:3.1.0"
@@ -8405,6 +8471,19 @@ __metadata:
   languageName: node
   linkType: hard
 
+"cli-color@npm:^2.0.2":
+  version: 2.0.3
+  resolution: "cli-color@npm:2.0.3"
+  dependencies:
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+    es5-ext: ^0.10.61
+    es6-iterator: ^2.0.3
+    memoizee: ^0.4.15
+    timers-ext: ^0.1.7
+  checksum: b1c5f3d0ec29cbe22be7a01d90bd0cfa080ffed6f1c321ea20ae3f10c6041f0e411e28ee2b98025945bee3548931deed1ae849b53c21b523ba74efef855cd73d
+  languageName: node
+  linkType: hard
+
 "cli-cursor@npm:^3.1.0":
   version: 3.1.0
   resolution: "cli-cursor@npm:3.1.0"
@@ -9610,7 +9689,7 @@ __metadata:
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-"es5-ext@npm:^0.10.35, es5-ext@npm:^0.10.50":
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   resolution: "es5-ext@npm:0.10.62"
   dependencies:
@@ -9642,6 +9721,18 @@ __metadata:
   languageName: node
   linkType: hard
 
+"es6-weak-map@npm:^2.0.3":
+  version: 2.0.3
+  resolution: "es6-weak-map@npm:2.0.3"
+  dependencies:
+    d: 1
+    es5-ext: ^0.10.46
+    es6-iterator: ^2.0.3
+    es6-symbol: ^3.1.1
+  checksum: 19ca15f46d50948ce78c2da5f21fb5b1ef45addd4fe17b5df952ff1f2a3d6ce4781249bc73b90995257264be2a98b2ec749bb2aba0c14b5776a1154178f9c927
+  languageName: node
+  linkType: hard
+
 "esbuild@npm:~0.17.6":
   version: 0.17.11
   resolution: "esbuild@npm:0.17.11"
@@ -10068,6 +10159,16 @@ __metadata:
   languageName: node
   linkType: hard
 
+"event-emitter@npm:^0.3.5":
+  version: 0.3.5
+  resolution: "event-emitter@npm:0.3.5"
+  dependencies:
+    d: 1
+    es5-ext: ~0.10.14
+  checksum: 27c1399557d9cd7e0aa0b366c37c38a4c17293e3a10258e8b692a847dd5ba9fb90429c3a5a1eeff96f31f6fa03ccbd31d8ad15e00540b22b22f01557be706030
+  languageName: node
+  linkType: hard
+
 "event-target-shim@npm:^5.0.0":
   version: 5.0.1
   resolution: "event-target-shim@npm:5.0.1"
@@ -10922,6 +11023,13 @@ __metadata:
   languageName: node
   linkType: hard
 
+"get-stdin@npm:^8.0.0":
+  version: 8.0.0
+  resolution: "get-stdin@npm:8.0.0"
+  checksum: 40128b6cd25781ddbd233344f1a1e4006d4284906191ed0a7d55ec2c1a3e44d650f280b2c9eeab79c03ac3037da80257476c0e4e5af38ddfb902d6ff06282d77
+  languageName: node
+  linkType: hard
+
 "get-stream@npm:^5.1.0":
   version: 5.2.0
   resolution: "get-stream@npm:5.2.0"
@@ -11013,6 +11121,17 @@ __metadata:
   languageName: node
   linkType: hard
 
+"glob-promise@npm:^4.2.2":
+  version: 4.2.2
+  resolution: "glob-promise@npm:4.2.2"
+  dependencies:
+    "@types/glob": ^7.1.3
+  peerDependencies:
+    glob: ^7.1.6
+  checksum: c1a3d95f7c8393e4151d4899ec4e42bb2e8237160f840ad1eccbe9247407da8b6c13e28f463022e011708bc40862db87b9b77236d35afa3feb8aa86d518f2dfe
+  languageName: node
+  linkType: hard
+
 "glob@npm:^10.2.2":
   version: 10.3.3
   resolution: "glob@npm:10.3.3"
@@ -11043,7 +11162,7 @@ __metadata:
   languageName: node
   linkType: hard
 
-"glob@npm:^7.0.0, glob@npm:^7.1.3, glob@npm:^7.1.4":
+"glob@npm:^7.0.0, glob@npm:^7.1.3, glob@npm:^7.1.4, glob@npm:^7.1.6":
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   resolution: "glob@npm:7.2.3"
   dependencies:
@@ -12059,6 +12178,13 @@ __metadata:
   languageName: node
   linkType: hard
 
+"is-promise@npm:^2.2.2":
+  version: 2.2.2
+  resolution: "is-promise@npm:2.2.2"
+  checksum: 18bf7d1c59953e0ad82a1ed963fb3dc0d135c8f299a14f89a17af312fc918373136e56028e8831700e1933519630cc2fd4179a777030330fde20d34e96f40c78
+  languageName: node
+  linkType: hard
+
 "is-property@npm:^1.0.2":
   version: 1.0.2
   resolution: "is-property@npm:1.0.2"
@@ -13063,6 +13189,30 @@ __metadata:
   languageName: node
   linkType: hard
 
+"json-schema-to-typescript@npm:^13.1.1":
+  version: 13.1.1
+  resolution: "json-schema-to-typescript@npm:13.1.1"
+  dependencies:
+    "@bcherny/json-schema-ref-parser": 10.0.5-fork
+    "@types/json-schema": ^7.0.11
+    "@types/lodash": ^4.14.182
+    "@types/prettier": ^2.6.1
+    cli-color: ^2.0.2
+    get-stdin: ^8.0.0
+    glob: ^7.1.6
+    glob-promise: ^4.2.2
+    is-glob: ^4.0.3
+    lodash: ^4.17.21
+    minimist: ^1.2.6
+    mkdirp: ^1.0.4
+    mz: ^2.7.0
+    prettier: ^2.6.2
+  bin:
+    json2ts: dist/src/cli.js
+  checksum: e6d894741703c27e0fae4a30b860fdd063439b78b5f98175203a6fe0c1152e2f6a5c4be34fbb2bc460ca50e14d8514cb3da3979d4f912bf2c6fada2f97b551b8
+  languageName: node
+  linkType: hard
+
 "json-schema-traverse@npm:^0.4.1":
   version: 0.4.1
   resolution: "json-schema-traverse@npm:0.4.1"
@@ -13275,7 +13425,8 @@ __metadata:
     "@aws-sdk/types": ^3.357.0
     "@azure/storage-blob": ^12.15.0
     "@clickhouse/client": ^0.0.14
-    "@cloudflare/workers-types": ^4.20230904.0
+    "@cloudflare/ai": ^1.0.12
+    "@cloudflare/workers-types": ^4.20230922.0
     "@elastic/elasticsearch": ^8.4.0
     "@faker-js/faker": ^7.6.0
     "@getmetal/metal-sdk": ^4.0.0
@@ -13416,7 +13567,7 @@ __metadata:
     "@aws-sdk/credential-provider-node": ^3.388.0
     "@azure/storage-blob": ^12.15.0
     "@clickhouse/client": ^0.0.14
-    "@cloudflare/workers-types": ^4.20230904.0
+    "@cloudflare/ai": ^1.0.12
     "@elastic/elasticsearch": ^8.4.0
     "@getmetal/metal-sdk": "*"
     "@getzep/zep-js": ^0.7.0
@@ -13509,7 +13660,7 @@ __metadata:
       optional: true
     "@clickhouse/client":
       optional: true
-    "@cloudflare/workers-types":
+    "@cloudflare/ai":
       optional: true
     "@elastic/elasticsearch":
       optional: true
@@ -14125,6 +14276,15 @@ __metadata:
   languageName: node
   linkType: hard
 
+"lru-queue@npm:^0.1.0":
+  version: 0.1.0
+  resolution: "lru-queue@npm:0.1.0"
+  dependencies:
+    es5-ext: ~0.10.2
+  checksum: 7f2c53c5e7f2de20efb6ebb3086b7aea88d6cf9ae91ac5618ece974122960c4e8ed04988e81d92c3e63d60b12c556b14d56ef7a9c5a4627b23859b813e39b1a2
+  languageName: node
+  linkType: hard
+
 "macos-release@npm:^3.1.0":
   version: 3.1.0
   resolution: "macos-release@npm:3.1.0"
@@ -14317,6 +14477,22 @@ __metadata:
   languageName: node
   linkType: hard
 
+"memoizee@npm:^0.4.15":
+  version: 0.4.15
+  resolution: "memoizee@npm:0.4.15"
+  dependencies:
+    d: ^1.0.1
+    es5-ext: ^0.10.53
+    es6-weak-map: ^2.0.3
+    event-emitter: ^0.3.5
+    is-promise: ^2.2.2
+    lru-queue: ^0.1.0
+    next-tick: ^1.1.0
+    timers-ext: ^0.1.7
+  checksum: 4065d94416dbadac56edf5947bf342beca0e9f051f33ad60d7c4baf3f6ca0f3c6fdb770c5caed5a89c0ceaf9121428582f396445d591785281383d60aa883418
+  languageName: node
+  linkType: hard
+
 "memory-pager@npm:^1.0.2":
   version: 1.5.0
   resolution: "memory-pager@npm:1.5.0"
@@ -14769,7 +14945,7 @@ __metadata:
   languageName: node
   linkType: hard
 
-"mz@npm:^2.4.0":
+"mz@npm:^2.4.0, mz@npm:^2.7.0":
   version: 2.7.0
   resolution: "mz@npm:2.7.0"
   dependencies:
@@ -14833,7 +15009,7 @@ __metadata:
   languageName: node
   linkType: hard
 
-"next-tick@npm:^1.1.0":
+"next-tick@npm:1, next-tick@npm:^1.1.0":
   version: 1.1.0
   resolution: "next-tick@npm:1.1.0"
   checksum: 83b5cf36027a53ee6d8b7f9c0782f2ba87f4858d977342bfc3c20c21629290a2111f8374d13a81221179603ffc4364f38374b5655d17b6a8f8a8c77bdea4fe8b
@@ -16206,6 +16382,15 @@ __metadata:
   languageName: node
   linkType: hard
 
+"prettier@npm:^2.6.2":
+  version: 2.8.8
+  resolution: "prettier@npm:2.8.8"
+  bin:
+    prettier: bin-prettier.js
+  checksum: b49e409431bf129dd89238d64299ba80717b57ff5a6d1c1a8b1a28b590d998a34e083fa13573bc732bb8d2305becb4c9a4407f8486c81fa7d55100eb08263cf8
+  languageName: node
+  linkType: hard
+
 "prettier@npm:^2.8.3":
   version: 2.8.4
   resolution: "prettier@npm:2.8.4"
@@ -18065,6 +18250,16 @@ __metadata:
   languageName: node
   linkType: hard
 
+"timers-ext@npm:^0.1.7":
+  version: 0.1.7
+  resolution: "timers-ext@npm:0.1.7"
+  dependencies:
+    es5-ext: ~0.10.46
+    next-tick: 1
+  checksum: ef3f27a0702a88d885bcbb0317c3e3ecd094ce644da52e7f7d362394a125d9e3578292a8f8966071a980d8abbc3395725333b1856f3ae93835b46589f700d938
+  languageName: node
+  linkType: hard
+
 "titleize@npm:^3.0.0":
   version: 3.0.0
   resolution: "titleize@npm:3.0.0"