A Component serves as an essential building block within a Pipeline.
Components are organized under the following categories:
- Generic
- AI
- Data
- Application
- Operator
Generic components serve as the foundational elements that support other components within a pipeline to execute complex or combined tasks. For instance, an Iterator component processes each element of an array by applying an operation determined by a collection of nested components.
AI components play a crucial role in transforming unstructured data into
formats that are easy to interpret and analyze, thereby facilitating the
extraction of valuable insights. These components integrate with AI models from
various providers, whether it's the primary Instill Model or those from
third-party AI vendors. They are defined and initialized in the ai
package.
Data components play a crucial role in establishing connections with remote
data sources, such as IoT devices (e.g., IP cameras), cloud storage services
(e.g., GCP Cloud Storage, AWS S3), data warehouses, or vector databases (e.g.,
Pinecone). These components act as the bridge between VDP and various external
data sources. Their primary function is to enable seamless data exchange,
enhancing Instill VDP's capability to work with diverse data sources
effectively. They are defined and initialized in the data package.
Application components are used to seamlessly integrate various 3rd-party
application services. They are defined and initialized in the
application package.
Operator components perform data transformations inside the pipeline. They
are defined and initialized in the operator package.
Please refer to the Contributing Guidelines for more details.
See the LICENSE file for licensing information.