# Pipeline Components

Pipeline components are classified into two main types: **System Components** and **Custom Components**.

### System Components

The **BDB Data Pipeline** offers a comprehensive set of system components designed to perform diverse tasks, enabling the delivery of well-structured and meaningful data to users for faster and more effective data analysis.

* [x] **AI Agents:** These functional units are designed to apply artificial intelligence or machine learning techniques to incoming data as it flows through the pipeline.
* [x] **Readers:** Your repository of data can serve as a valuable resource for you. It could be a database, a file, or a SaaS application. Read **Readers**.
* [x] **Writers:** The databases or data warehouses to which the Pipelines load the data. Read **Writers**.
* [x] **Transforms:** The series of transformation components that help to cleanse, enrich, and prepare data for smooth analytics. Read **Transformations**.​
* [x] **Producers:** Producers are the components that can be used to produce/generate streaming data to external sources. Read **Producers**.
* [x] **Machine Learning:** The Model Runner components allow users to use the models created using the Python workspace of the Data Science Workbench or saved models from the Data Science Lab to be consumed in a pipeline. Read **Machine Learning.​**
* [x] **Consumers**: These are the real-time / Streaming component that ingests data or monitor for changes in data objects from different sources to the pipeline. Read **Consumers.​**
* [x] **Alerts:** These components facilitate user notification on various channels like Teams, Slack, and email based on their preferences. Notifications can be delivered for success, failure, or other relevant events, depending on the user's requirements. Read **Alerts.**
* [x] **Scripting:** The ***Scripting*** components allow users to write custom scripts and integrate them into the pipeline as needed. Read **Scripting**.
* [x] **Scheduler:** The **Scheduler** component enables users to schedule their pipeline at a specific time according to their requirements.

### Custom Components

In addition to the predefined system components, the **BDB Data Pipeline** provides users with the flexibility to **create and integrate custom components**, enabling them to tailor the pipeline according to their **specific operational requirements and use cases**.


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.bdb.ai/bdb-user-documentation/platform-modules/11.0/data-engineering/data-pipelines/pipeline-editor/pipeline-components.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.