langchain/docs/integrations/airbyte.md
Leonid Ganeline 1f11f80641
docs: cleaning (#5413)
# docs cleaning

Changed docs to consistent format (probably, we need an official doc
integration template):
- ClearML - added product descriptions; changed title/headers
- Rebuff  - added product descriptions; changed title/headers
- WhyLabs  - added product descriptions; changed title/headers
- Docugami - changed title/headers/structure
- Airbyte - fixed title
- Wolfram Alpha - added descriptions, fixed title
- OpenWeatherMap -  - added product descriptions; changed title/headers
- Unstructured - changed description

## Who can review?

Community members can review the PR once tests pass. Tag
maintainers/contributors who might be interested:

@hwchase17
@dev2049
2023-05-30 13:58:16 -07:00

30 lines
1.2 KiB
Markdown

# Airbyte
>[Airbyte](https://github.com/airbytehq/airbyte) is a data integration platform for ELT pipelines from APIs,
> databases & files to warehouses & lakes. It has the largest catalog of ELT connectors to data warehouses and databases.
## Installation and Setup
This instruction shows how to load any source from `Airbyte` into a local `JSON` file that can be read in as a document.
**Prerequisites:**
Have `docker desktop` installed.
**Steps:**
1. Clone Airbyte from GitHub - `git clone https://github.com/airbytehq/airbyte.git`.
2. Switch into Airbyte directory - `cd airbyte`.
3. Start Airbyte - `docker compose up`.
4. In your browser, just visit http://localhost:8000. You will be asked for a username and password. By default, that's username `airbyte` and password `password`.
5. Setup any source you wish.
6. Set destination as Local JSON, with specified destination path - lets say `/json_data`. Set up a manual sync.
7. Run the connection.
8. To see what files are created, navigate to: `file:///tmp/airbyte_local/`.
## Document Loader
See a [usage example](../modules/indexes/document_loaders/examples/airbyte_json.ipynb).
```python
from langchain.document_loaders import AirbyteJSONLoader
```