docs: update docs with vendors

Author: MagdalenaKotynia

docs/setup/vendors.md

@@ -9,12 +9,12 @@ Alternatively vendors can be configured manually in `config.toml` file.
 
 The table summarizes vendor alternative for core AI service and optional RAI modules:
 
-| Module                                          | Open source | Alternative             | Why to consider alternative?                                             | More information                                                                                          |
-| ----------------------------------------------- | ----------- | ----------------------- | ------------------------------------------------------------------------ | --------------------------------------------------------------------------------------------------------- |
-| [LLM service](#llm-model-configuration-in-rai)  | Ollama      | OpenAI, Bedrock         | Overall performance of the LLM models, supported modalities and features | [LangChain models](https://docs.langchain4j.dev/integrations/language-models/)                            |
-| **Optional:** [Tracing tool](./tracing.md)      | Langfuse    | LangSmith               | Better integration with LangChain                                        | [Comparison](https://langfuse.com/faq/all/langsmith-alternative)                                          |
-| **Optional:** [Text to speech](#text-to-speech) | OpenTTS     | ElevenLabs              | Arguably, significantly better voice synthesis                           | <li> [OpenTTS GitHub](https://github.com/synesthesiam/opentts) </li><li> [RAI voice interface][s2s] </li> |
-| **Optional:** [Speech to text](#speech-to-text) | Whisper     | OpenAI Whisper (hosted) | When suitable local GPU is not an option                                 | <li> [Whisper GitHub](https://github.com/openai/whisper) </li><li> [RAI voice interface][s2s] </li>       |
+| Module                                          | Open source        | Alternative             | Why to consider alternative?                                             | More information                                                                                                                                                                 |
+| ----------------------------------------------- | ------------------ | ----------------------- | ------------------------------------------------------------------------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| [LLM service](#llm-model-configuration-in-rai)  | Ollama             | OpenAI, Bedrock         | Overall performance of the LLM models, supported modalities and features | [LangChain models](https://docs.langchain4j.dev/integrations/language-models/)                                                                                                   |
+| **Optional:** [Tracing tool](./tracing.md)      | Langfuse           | LangSmith               | Better integration with LangChain                                        | [Comparison](https://langfuse.com/faq/all/langsmith-alternative)                                                                                                                 |
+| **Optional:** [Text to speech](#text-to-speech) | KokoroTTS, OpenTTS | ElevenLabs              | Arguably, significantly better voice synthesis                           | <li> [KokoroTTS](https://huggingface.co/hexgrad/Kokoro-82M#usage) </li><li> [OpenTTS GitHub](https://github.com/synesthesiam/opentts) </li><li> [RAI voice interface][s2s] </li> |
+| **Optional:** [Speech to text](#speech-to-text) | Whisper            | OpenAI Whisper (hosted) | When suitable local GPU is not an option                                 | <li> [Whisper GitHub](https://github.com/openai/whisper) </li><li> [RAI voice interface][s2s] </li>                                                                              |
 
 > [!TIP] Best-performing AI models
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