diff --git a/templates/js-langchain/README.md b/templates/js-langchain/README.md
index 8ec82f88..c2d2e9ff 100644
--- a/templates/js-langchain/README.md
+++ b/templates/js-langchain/README.md
@@ -1,28 +1,31 @@
-# LangChain.js example
+# LangChain.js template
 
 > LangChain is a framework for developing applications powered by language models.
+> 
 
-This example template illustrates how to use LangChain.js with Apify to crawl the web data, vectorize them, and prompt the OpenAI model. All of this within a single Apify Actor and slightly over a hundered lines of code.
+This example template illustrates how to use LangChain.js with Apify to crawl the web data, vectorize them, and prompt the OpenAI model. All of this is within a single Apify Actor and slightly over a hundred lines of code.
 
 ## Included features
 
-- **[Apify SDK](https://docs.apify.com/sdk/js/)** - a toolkit for building actors
+- **[Apify SDK](https://docs.apify.com/sdk/js/)** - a toolkit for building [Actors](https://apify.com/actors)
 - **[Input schema](https://docs.apify.com/platform/actors/development/input-schema)** - define and easily validate a schema for your actor's input
 - **[Langchain.js](https://github.com/hwchase17/langchainjs)** - a framework for developing applications powered by language models
 - **[OpenAI](https://openai.com/)** - a powerful language model
 
 ## How it works
 
-The code contains following steps:
-1. Crawls given website using [Website Content Crawler](https://apify.com/mtrunkat/website-content-crawler) Actor.
+The code contains the following steps:
+
+1. Crawls given website using [Website Content Crawler](https://apify.com/apify/website-content-crawler) Actor.
 2. Vectorizes the data using the [OpenAI](https://openai.com/) API.
 3. Caches the vector index in the [key-value store](https://docs.apify.com/platform/storage/key-value-store) so that when you run Actor for the same website again, the cached data are used to speed it up.
-4. Data are fed to the OpenAI model using the [Langchain.js](https://github.com/hwchase17/langchainjs), and a given query is asked.
+4. Data are fed to the OpenAI model using [Langchain.js](https://github.com/hwchase17/langchainjs), and a given query is asked.
 
 ## Before you start
 
-To be able to run this template both locally and at the Apify Platform, you need to:
-- Have an [Apify account](https://console.apify.com/) and sign into it using `apify login` command in your terminal. Without this, you won't be able to run the required [Website Content Crawler](https://apify.com/mtrunkat/website-content-crawler) Actor to gather the data.
+To be able to run this template both locally and on the Apify platform, you need to:
+
+- Have an [Apify account](https://console.apify.com/) and sign into it using `apify login` command in your terminal. Without this, you won't be able to run the required [Website Content Crawler](https://apify.com/apify/website-content-crawler) Actor to gather the data.
 - Have an [OpenAI](https://openai.com/) account and an API key. This is needed for vectorizing the data and also to be able to prompt the OpenAI model.
     - When running locally store this as OPENAI_API_KEY environment variable (https://docs.apify.com/cli/docs/vars#set-up-environment-variables-in-apify-console).
     - When running on Apify platform, you can simply paste this into the input field in the input UI.
@@ -30,7 +33,20 @@ To be able to run this template both locally and at the Apify Platform, you need
 ## Production use
 
 > This serves purely as an example of the whole pipeline.
+> 
 
 For production use, we recommend you to:
+
 - Separate crawling, data vectorization, and prompting into separate Actors. This way, you can run them independently and scale them separately.
-- Replace local vector store with [Pinecone](https://www.pinecone.io/) or similar database. See the [LangChain.js](https://js.langchain.com/docs/) documentation for more information.
+- Replace the local vector store with [Pinecone](https://www.pinecone.io/) or a similar database. See the [LangChain.js docs](https://js.langchain.com/docs/) for more information.
+
+## Resources
+
+- [Pinecone integration](https://apify.com/jan.turon/pinecone-integration) Actor
+- [How to use Pinecone with LLMs](https://blog.apify.com/what-is-pinecone-why-use-it-with-llms/)
+- [How to use LangChain with OpenAI, Pinecone, and Apify](https://blog.apify.com/how-to-use-langchain/)
+- [Integration with Zapier](https://apify.com/integrations), Make, Google Drive and others
+- [Video guide on getting data using Apify API](https://www.youtube.com/watch?v=ViYYDHSBAKM)
+<br>
+[langchain content crawler](https://www.youtube.com/watch?v=8uvHH-ocSes)
+