If you're struggling with creating Actors in Apify Console, we have you covered. 

We've introduced Tips to our web IDE that explain how to create Actors faster in 6 steps and what to watch out for. 

Do you think it helps? Check it out and let us know what you think! 

![Guiding users through tips.gif](https://cdn-cms.apify.com/Guiding_users_through_tips_9b3d636d9e.gif)

Helpful tips to create Actors faster 💡

## Support for monorepos

You can now easily build miltiple Actors from a GitHub monorepo and share the code across all of them. To enable this you need to configure the `dockerContextDir` property in the `actor.json` directly. This will enable Docker to access the required directories:


```json
{
    "actorSpecification": 1,
    "name": "testing-monorepo-actor-1",
    "title": "Testing monorepo actor 1",
    "description": "This actor loads its code and input schema from a shared package.",
    "version": "0.0",
    "dockerContextDir": "../..",
    "input": "../../shared/input_schema.json",
    "readme": "../../shared/README.md",
    "dockerfile": "./Dockerfile"
}
```


See the [documentation](https://docs.apify.com/platform/actors/development/source-code#actor-monorepos) for more information.


## Better Actor READMEs and CHANELOGs

In the past month, we've rolled out improvements to Actor READMEs, including better styling and displaying the table of contents next to them.


![actor-readme.png](https://cdn-cms.apify.com/actor_readme_eace31d6df.png)


In addition, if the Actor source code contains `CHANGELOG.md`, it gets rendered in its Info tab. This way, you can quickly learn about the new features and imrovements brought to you by the new release of an Actor.


![actor-changelog.png](https://cdn-cms.apify.com/actor_changelog_40c21f9e83.png)

Build Actors from monorepos easily

Today's most popular language models like ChatGPT or LLaMA were all trained on vast amounts of data scraped from the web. 

With our new integrations to [LangChain](https://python.langchain.com/en/latest/ecosystem/apify.html), [LangChainJS](https://js.langchain.com/docs/modules/indexes/document_loaders/examples/web_loaders/apify_datasetnk), and [Llamaindex](https://llamahub.ai/l/apify-actor)/[Llamahub](https://llamahub.ai/l/apify-actor), you can now feed results from Actors directly to vector indexes. This way you easily build apps that query text data crawled from websites such as documentation or knowledge bases, chatbots for customer support, and much more.

For more information on using Apify in the context of large language models (LLMs) see our [page on generative AI](https://apify.com/data-for-generative-ai).

![Llamahub.png](https://cdn-cms.apify.com/Llamahub_6b46d589ae.png)

Apify integrates with the AI/LLM world

Changelog

Keep up to date with the latest releases, fixes, and features from Apify.