# ETL

## Explanation

ETL is the process of sourcing data from diverse origins, transforming it for usability, and loading it into a target system.

ETL stands for Extract, Transform and Load. These are the three main steps to convert/move from a data source to a target destination.

Here we are getting the documents from various different sources (Extract) and converting it into embeddings (transform) and finally loading it to a vector database (Load) . Hence this ETL process achieves the data loading part from a source to a vectordb destination.

**Our workflow diagram:**

<figure><img src="https://3806397856-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FeycDZ2xq9bBJ7YOeSLfc%2Fuploads%2Fgit-blob-2aaca1e7720fd61f55955f211756b755d92b786a%2Fimage.png?alt=media" alt=""><figcaption><p>Data Loaders Architecture Diagram</p></figcaption></figure>

### Supported Data Loaders:

Currently we support three ETL platforms , they are:

* Airbyte
* Llama Hub
* Langchain

You can use any one of these loaders to carry out the ETL process.