Files
semantic-kernel/python/samples
Rashmi PawarandLakshmi Ramesh 28e9d11a98 Python: Nvidia Embedding Connector (#10410)
### Motivation and Context

This PR adds an Nvidia Embedding Connector. This connector enables
integration with NVIDIA NIM API for text embeddings. It allows you to
use NVIDIA's embedding models within the Semantic Kernel framework.

### Description

### Contribution Checklist

<!-- Before submitting this PR, please make sure: -->

- [X] The code builds clean without any errors or warnings
- [X] The PR follows the [SK Contribution
Guidelines](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md)
and the [pre-submission formatting
script](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md#development-scripts)
raises no violations
- [X] All unit tests pass, and I have added new tests where possible
- [X] I didn't break anyone 😄

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Co-authored-by: Lakshmi Ramesh <[email protected]>
2025-03-13 07:15:24 +00:00
..
2025-03-07 20:23:57 +01:00

Semantic Kernel Samples

Type Description
getting_started Take this step by step tutorial to get started with Semantic Kernel and get introduced to the key concepts.
getting_started_with_agents Take this step by step tutorial to get started with Semantic Kernel Agents and get introduced to the key concepts.
getting_started_with_processes Take this step by step tutorial to get started with Semantic Kernel Processes and get introduced to the key concepts.
concepts This section contains focused samples which illustrate all of the concepts included in Semantic Kernel.
demos Look here to find a sample which demonstrate how to use many of Semantic Kernel features.
learn_resources Code snippets that are related to online documentation sources like Microsoft Learn, DevBlogs and others