--- title: '⚙️ Custom' --- When we say "custom", we mean that you can customize the loader and chunker to your needs. This is done by passing a custom loader and chunker to the `add` method. ```python from embedchain import App import your_loader from my_module import CustomLoader from my_module import CustomChunker app = App() loader = CustomLoader() chunker = CustomChunker() app.add("source", data_type="custom", loader=loader, chunker=chunker) ``` The custom loader and chunker must be a class that inherits from the [`BaseLoader`](https://github.com/embedchain/embedchain/blob/main/embedchain/loaders/base_loader.py) and [`BaseChunker`](https://github.com/embedchain/embedchain/blob/main/embedchain/chunkers/base_chunker.py) classes respectively. If the `data_type` is not a valid data type, the `add` method will fallback to the `custom` data type and expect a custom loader and chunker to be passed by the user. Example: ```python from embedchain import App from embedchain.loaders.github import GithubLoader app = App() loader = GithubLoader(config={"token": "ghp_xxx"}) app.add("repo:embedchain/embedchain type:repo", data_type="github", loader=loader) app.query("What is Embedchain?") # Answer: Embedchain is a Data Platform for Large Language Models (LLMs). It allows users to seamlessly load, index, retrieve, and sync unstructured data in order to build dynamic, LLM-powered applications. There is also a JavaScript implementation called embedchain-js available on GitHub. ```