> For the complete documentation index, see [llms.txt](https://docs.seldon.ai/seldon-core-2/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.seldon.ai/seldon-core-2/integrations.md).

# Integrations

- [Service Meshes](https://docs.seldon.ai/seldon-core-2/integrations/service-meshes.md): Using Service Meshes with Seldon Core 2.
- [Ambassador](https://docs.seldon.ai/seldon-core-2/integrations/service-meshes/ambassador.md): Learn how to integrate Seldon Core 2 with Ambassador for service mesh and ingress management, including REST and gRPC endpoint configuration.
- [Istio](https://docs.seldon.ai/seldon-core-2/integrations/service-meshes/istio.md): Learn how to integrate Seldon Core 2 with Istio service mesh for traffic management and ML model deployment, including gateway configuration and virtual service setup.
- [Traefik](https://docs.seldon.ai/seldon-core-2/integrations/service-meshes/traefik.md): Learn how to integrate Seldon Core 2 with Traefik for service mesh and ingress management, including service configuration and middleware implementation.
- [Secure Model Endpoints](https://docs.seldon.ai/seldon-core-2/integrations/service-meshes/securing-endpoints.md): Learn how to secure model endpoints in Seldon Core, including authentication, authorization, and TLS configuration.
- [Confluent](https://docs.seldon.ai/seldon-core-2/integrations/confluent.md): Leveraging Confluent Kafka with Seldon Core 2.
- [Schema Registry](https://docs.seldon.ai/seldon-core-2/integrations/confluent/schema-registry.md): Learn how to integrate Seldon Core 2 with Schema Registry on both Confluent Cloud and Confluent Platform for having a centralized repository for schema management


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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, and the optional `goal` query parameter:

```
GET https://docs.seldon.ai/seldon-core-2/integrations.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.
