Update doc links to 2026 (openvinotoolkit#3491)

## Description
Update docs to 2026 as still pointing to older docs. 

## Checklist:
- [x] This PR follows [GenAI Contributing
guidelines](https://github.com/openvinotoolkit/openvino.genai?tab=contributing-ov-file#contributing).
- [N/A] Tests have been updated or added to cover the new code. 
- [x] I have made corresponding changes to the documentation.
https://whitneyfoster.github.io/openvino.genai/

Author: whitneyfoster

README.md

@@ -73,7 +73,7 @@ Library efficiently supports LoRA adapters for Text and Image generation scenari
 - Select active adapters for every generation
 - Mix multiple adapters with coefficients via alpha blending
 
-All scenarios are run on top of OpenVINO Runtime that supports inference on CPU, GPU and NPU. See [here](https://docs.openvino.ai/2025/about-openvino/release-notes-openvino/system-requirements.html) for platform support matrix.
+All scenarios are run on top of OpenVINO Runtime that supports inference on CPU, GPU and NPU. See [here](https://docs.openvino.ai/2026/about-openvino/release-notes-openvino/system-requirements.html) for platform support matrix.
 
 <a id="optimization-methods"></a>
 
@@ -87,12 +87,12 @@ OpenVINO™ GenAI library provides a transparent way to use state-of-the-art gen
 Additionally, OpenVINO™ GenAI library implements a continuous batching approach to use OpenVINO within LLM serving. The continuous batching library could be used in LLM serving frameworks and supports the following features:
 - Prefix caching that caches fragments of previous generation requests and corresponding KVCache entries internally and uses them in case of repeated query.
 
-Continuous batching functionality is used within OpenVINO Model Server (OVMS) to serve LLMs, see [here](https://docs.openvino.ai/2025/openvino-workflow/model-server/ovms_what_is_openvino_model_server.html) for more details.
+Continuous batching functionality is used within OpenVINO Model Server (OVMS) to serve LLMs, see [here](https://docs.openvino.ai/2026/model-server/ovms_what_is_openvino_model_server.html) for more details.
 
 
 ## Additional Resources
 
-- [OpenVINO Generative AI workflow](https://docs.openvino.ai/2025/openvino-workflow-generative.html)
+- [OpenVINO Generative AI workflow](https://docs.openvino.ai/2026/openvino-workflow-generative.html)
 - [Optimum Intel and OpenVINO](https://huggingface.co/docs/optimum/intel/openvino/export)
 - [OpenVINO Notebooks with GenAI](https://openvinotoolkit.github.io/openvino_notebooks/?libraries=OpenVINO+GenAI)
 

samples/cpp/image_generation/README.md

@@ -42,7 +42,7 @@ optimum-cli export openvino --model dreamlike-art/dreamlike-anime-1.0 --task sta
 
 ## Run text to image
 
-Follow [Get Started with Samples](https://docs.openvino.ai/2025/get-started/learn-openvino/openvino-samples/get-started-demos.html) to run the sample.
+Follow [Get Started with Samples](https://docs.openvino.ai/2026/get-started/learn-openvino/openvino-samples/get-started-demos.html) to run the sample.
 
 `stable_diffusion ./dreamlike_anime_1_0_ov/FP16 'cyberpunk cityscape like Tokyo New York with tall buildings at dusk golden hour cinematic lighting'`
 

samples/cpp/rag/README.md

@@ -27,7 +27,7 @@ optimum-cli export openvino --task text-classification --model cross-encoder/ms-
 
 ## Run
 
-Follow [Get Started with Samples](https://docs.openvino.ai/2025/get-started/learn-openvino/openvino-samples/get-started-demos.html) to run the sample.
+Follow [Get Started with Samples](https://docs.openvino.ai/2026/get-started/learn-openvino/openvino-samples/get-started-demos.html) to run the sample.
 
 ### 1. Text Embedding Sample (`text_embeddings.cpp`)
 - **Description:**

samples/cpp/speech_generation/README.md

@@ -38,7 +38,7 @@ python create_speaker_embedding.py
 
 ## Run Text-to-speech sample
 
-Follow [Get Started with Samples](https://docs.openvino.ai/2025/get-started/learn-openvino/openvino-samples/get-started-demos.html)
+Follow [Get Started with Samples](https://docs.openvino.ai/2026/get-started/learn-openvino/openvino-samples/get-started-demos.html)
 to run the sample.
 
 `text-to-speech speecht5_tts "Hello OpenVINO GenAI" speaker_embedding.bin`

samples/cpp/text_generation/README.md

@@ -32,7 +32,7 @@ and architectures, we still recommend converting the model to the IR format usin
 
 ## Sample Descriptions
 ### Common information
-Follow [Get Started with Samples](https://docs.openvino.ai/2025/get-started/learn-openvino/openvino-samples/get-started-demos.html) to get common information about OpenVINO samples.
+Follow [Get Started with Samples](https://docs.openvino.ai/2026/get-started/learn-openvino/openvino-samples/get-started-demos.html) to get common information about OpenVINO samples.
 Follow [build instruction](../../../src/docs/BUILD.md) to build GenAI samples
 
 GPUs usually provide better performance compared to CPUs. Modify the source code to change the device for inference to the GPU.
@@ -64,7 +64,7 @@ The following template can be used as a default, but it may not work properly wi
 #### NPU support
 
 NPU device is supported with some limitations. See [NPU inference of
-LLMs](https://docs.openvino.ai/2025/openvino-workflow-generative/inference-with-genai/inference-with-genai-on-npu.html) documentation. In particular:
+LLMs](https://docs.openvino.ai/2026/openvino-workflow-generative/inference-with-genai/inference-with-genai-on-npu.html) documentation. In particular:
 
 - Models must be exported with symmetric INT4 quantization (`optimum-cli export openvino --weight-format int4 --sym --model <model> <output_folder>`).
   For models with more than 4B parameters, channel wise quantization should be used (`--group-size -1`).

samples/cpp/video_generation/README.md

@@ -39,7 +39,7 @@ pipeline.save_pretrained(output_dir)
 
 ### Common Information
 
-Follow [Get Started with Samples](https://docs.openvino.ai/2025/get-started/learn-openvino/openvino-samples/get-started-demos.html) to get common information about OpenVINO samples.
+Follow [Get Started with Samples](https://docs.openvino.ai/2026/get-started/learn-openvino/openvino-samples/get-started-demos.html) to get common information about OpenVINO samples.
 Follow [build instruction](../../../src/docs/BUILD.md) to build GenAI samples.
 
 GPUs usually provide better performance compared to CPUs. Modify the source code to change the device for inference to the GPU.

samples/cpp/visual_language_chat/README.md

@@ -20,7 +20,7 @@ pip install --upgrade-strategy eager -r ../../requirements.txt
 optimum-cli export openvino --model openbmb/MiniCPM-V-2_6 --trust-remote-code MiniCPM-V-2_6
 ```
 
-Follow [Get Started with Samples](https://docs.openvino.ai/2025/get-started/learn-openvino/openvino-samples/get-started-demos.html) to run samples.
+Follow [Get Started with Samples](https://docs.openvino.ai/2026/get-started/learn-openvino/openvino-samples/get-started-demos.html) to run samples.
 
 ## Run image-to-text chat sample:
 

samples/cpp/whisper_speech_recognition/README.md

@@ -21,7 +21,7 @@ You can download example audio file: https://storage.openvinotoolkit.org/models_
 
 ## Run
 
-Follow [Get Started with Samples](https://docs.openvino.ai/2025/get-started/learn-openvino/openvino-samples/get-started-demos.html) to run the sample.
+Follow [Get Started with Samples](https://docs.openvino.ai/2026/get-started/learn-openvino/openvino-samples/get-started-demos.html) to run the sample.
 
 `whisper_speech_recognition whisper-base how_are_you_doing_today.wav`
 

samples/python/text_generation/README.md

@@ -57,7 +57,7 @@ and architectures, we still recommend converting the model to the IR format usin
 
 ## Sample Descriptions
 ### Common information
-Follow [Get Started with Samples](https://docs.openvino.ai/2025/get-started/learn-openvino/openvino-samples/get-started-demos.html) to get common information about OpenVINO samples.
+Follow [Get Started with Samples](https://docs.openvino.ai/2026/get-started/learn-openvino/openvino-samples/get-started-demos.html) to get common information about OpenVINO samples.
 Follow [build instruction](../../../src/docs/BUILD.md) to build GenAI samples
 
 GPUs usually provide better performance compared to CPUs. Modify the source code to change the device for inference to the GPU.
@@ -89,7 +89,7 @@ The following template can be used as a default, but it may not work properly wi
 #### NPU support
 
 NPU device is supported with some limitations. See [NPU inference of
-LLMs](https://docs.openvino.ai/2025/openvino-workflow-generative/inference-with-genai/inference-with-genai-on-npu.html) documentation. In particular:
+LLMs](https://docs.openvino.ai/2026/openvino-workflow-generative/inference-with-genai/inference-with-genai-on-npu.html) documentation. In particular:
 
 - Models must be exported with symmetric INT4 quantization (`optimum-cli export openvino --weight-format int4 --sym --model <model> <output_folder>`).
   For models with more than 4B parameters, channel wise quantization should be used (`--group-size -1`).

samples/python/video_generation/README.md

@@ -39,7 +39,7 @@ pipeline.save_pretrained(output_dir)
 
 ### Common Information
 
-Follow [Get Started with Samples](https://docs.openvino.ai/2025/get-started/learn-openvino/openvino-samples/get-started-demos.html) to get common information about OpenVINO samples.
+Follow [Get Started with Samples](https://docs.openvino.ai/2026/get-started/learn-openvino/openvino-samples/get-started-demos.html) to get common information about OpenVINO samples.
 Follow [build instruction](../../../src/docs/BUILD.md) to build GenAI samples.
 
 GPUs usually provide better performance compared to CPUs. Modify the source code to change the device for inference to the GPU.