docs: Refactor examples

CONTRIBUTING.md

@@ -22,7 +22,7 @@ There are many ways to contribute to BentoML.
 
 * Contributing code or documentation to the project by submitting a Github pull request.
 
-* Create new example projects and contribute it to [bentoml/examples](https://github.com/bentoml/BentoML/tree/main/examples)
+* Create new example projects and contribute it to the [Examples Index Page](https://docs.bentoml.com/en/latest/use-cases/index.html).
 
 
 

GOVERNANCE.md

@@ -34,7 +34,7 @@ As a contributor, you may find yourself doing one or more of the following:
     relevant to you in BentoML's [issue tracker](https://github.com/bentoml/BentoML/issues).
 * Investigate bugs and reviewing other developer's pull requests.
 * Contribute code or documentation to the project by submitting a Github pull request.
-* Create new example projects and contribute it to [bentoml/examples](https://github.com/bentoml/BentoML/tree/main/examples).
+* Create new example projects and contribute it to the [Examples Index Page](https://docs.bentoml.com/en/latest/use-cases/index.html).
 
 
 Contributors engage with the project through the issue tracker and mailing list. They

docs/source/index.rst

@@ -46,6 +46,8 @@ Featured examples
 
         Deploy an image generation application capable of creating high-quality visuals with just a single inference step.
 
+See the :doc:`/use-cases/index` section to learn more.
+
 Start your BentoML journey
 --------------------------
 

docs/source/reference/frameworks/flax.rst

@@ -7,11 +7,6 @@ Flax
    This is an API reference for FLax in BentoML. Please refer to
    :doc:`/frameworks/flax` for more information about how to use Flax in BentoML.
 
-
-.. note::
-
-   You can find more examples for **Flax** in our `bentoml/examples https://github.com/bentoml/BentoML/tree/main/examples`_ directory.
-
 .. currentmodule:: bentoml.flax
 
 .. autofunction:: bentoml.flax.save_model

docs/source/use-cases/index.rst

@@ -2,7 +2,7 @@
 Examples
 ========
 
-This section provides a variety of example projects for you to learn how BentoML can be used for different scenarios.
+This section provides the tutorials for a curated list of example projects to help you learn how BentoML can be used for different scenarios.
 
 .. grid:: 1 2 2 2
     :gutter: 3
@@ -27,13 +27,6 @@ This section provides a variety of example projects for you to learn how BentoML
 
         Deploy custom models with BentoML.
 
-    .. grid-item-card:: :doc:`/use-cases/more-examples`
-        :link: /use-cases/more-examples
-        :link-type: doc
-
-        More example projects to explore BentoML.
-
-
 .. toctree::
     :maxdepth: 1
     :titlesonly:
@@ -42,4 +35,80 @@ This section provides a variety of example projects for you to learn how BentoML
     large-language-models/index
     diffusion-models/index
     custom-models/index
-    more-examples
+
+See the following lists for a complete collection of BentoML example projects. Browse through different categories to find the example that best suits your needs.
+
+LLMs
+----
+
+Serve LLMs with BentoML and vLLM:
+
+- `Llama 3.2 90B <https://github.com/bentoml/BentoVLLM/tree/main/llama3.2-90b-instruct>`_
+- `Llama 3.1 70B <https://github.com/bentoml/BentoVLLM/tree/main/llama3.1-70b-instruct-awq>`_
+- `Mistral 7B <https://github.com/bentoml/BentoVLLM/tree/main/mistral-7b-instruct>`_
+- `Pixtral 12B <https://github.com/bentoml/BentoVLLM/tree/main/pixtral-12b>`_
+- `Phi 3 mini <https://github.com/bentoml/BentoVLLM/tree/main/phi-3-mini-4k-instruct>`_
+- Check out the `BentoVLLM project <https://github.com/bentoml/BentoVLLM>`_ to see more examples
+
+Build compound AI systems on top of LLMs:
+
+- `Build an AI agent with function calling using BentoML <https://github.com/bentoml/BentoFunctionCalling>`_
+- `Build a LangGraph agent application with BentoML <https://github.com/bentoml/BentoLangGraph>`_
+- `Build a multi-agent application with CrewAI and BentoML <https://github.com/bentoml/BentoCrewAI>`_
+- `Build an AI assistant to ensure LLM safety with BentoML and ShieldGemma <https://github.com/bentoml/BentoShield/>`_
+- `Build a RAG system for document ingestion and search with LlamaIndex and BentoML <https://github.com/bentoml/rag-tutorials>`_
+- `Build a voice agent with open-source models using Twilio, Pipecat and BentoML <https://github.com/bentoml/BentoVoiceAgent>`_
+
+Image and video
+---------------
+
+Serve text-to-image and image-to-image models with BentoML:
+
+- `Stable Diffusion 3.5 Large Turbo <https://github.com/bentoml/BentoDiffusion/tree/main/sd3.5-large-turbo>`_
+- `Stable Diffusion 3 Medium <https://github.com/bentoml/BentoDiffusion/tree/main/sd3-medium>`_
+- `Stable Diffusion XL Turbo <https://github.com/bentoml/BentoDiffusion/tree/main/sdxl-turbo>`_
+- `Stable Video Diffusion <https://github.com/bentoml/BentoDiffusion/tree/main/svd>`_
+- `ControlNet <https://github.com/bentoml/BentoDiffusion/tree/main/controlnet>`_
+- Check out the `BentoDiffusion project <https://github.com/bentoml/BentoDiffusion>`_ to see more examples
+
+Audio
+-----
+
+Serve text-to-speech and speech-to-text models with BentoML:
+
+- `ChatTTS <https://github.com/bentoml/BentoChatTTS>`_
+- `XTTS <https://github.com/bentoml/BentoXTTS>`_
+- `XTTS with a streaming endpoint <https://github.com/bentoml/BentoXTTSStreaming>`_
+- `WhisperX <https://github.com/bentoml/BentoWhisperX>`_
+- `Bark <https://github.com/bentoml/BentoBark>`_
+
+Computer vision
+---------------
+
+Serve computer vision models with BentoML:
+
+- `YOLO: Object detection <https://github.com/bentoml/BentoYolo>`_
+- `ResNet: Image classification <https://github.com/bentoml/BentoResnet>`_
+
+Embeddings
+----------
+
+Build embedding inference APIs with BentoML:
+
+- `SentenceTransformers <https://github.com/bentoml/BentoSentenceTransformers>`_
+- `CLIP <https://github.com/bentoml/BentoClip>`_
+
+Custom models
+-------------
+
+Serve custom models with BentoML:
+
+- `MLflow <https://github.com/bentoml/BentoML/tree/main/examples/mlflow>`_
+- `XGBoost <https://github.com/bentoml/BentoML/tree/main/examples/xgboost>`_
+- `scikit-learn <https://github.com/bentoml/BentoML/tree/main/examples/sk-learn>`_
+
+Others
+------
+
+- `Build an image captioning inference API with BLIP and BentoML <https://github.com/bentoml/BentoBlip>`_
+- `Build a forecasting inference API for time-series data with Moirai and BentoML <https://github.com/bentoml/BentoMoirai/>`_

examples/README.md

@@ -1,39 +1,3 @@
 # BentoML Examples 🎨
 
-The directory contains a collection of example projects demonstrating
-[BentoML](https://github.com/bentoml/BentoML) usage and best practices.
-
-## Index
-
-| Example | Model | Functionality |
-| --- | --- | --- |
-| [quickstart](./quickstart/) | Transformers | Summarization |
-| [inference-graph](./inference-graph/) | Text Generation, Text Classification | Distributed Services, Model Composition, Inference Graph |
-| [io-descriptors](./io-descriptors/) | Pydantic | Custom IO Types |
-| [model-loading-saving](./model-loading-saving/) | Stable Diffusion | Model Store |
-| [monitoring/task_classification](./monitoring/task_classification/) | Classification | Model Monitoring, Classification Tasks |
-| [sk-learn](./sk-learn/) | Classification | Classification |
-| [mlflow](./mlflow/) | Classification | Classification |
-| [xgboost](./xgboost/) | Classification | Classification |
-
-## More examples
-
-You can also try the following example projects.
-
-- [BentoVLLM](https://github.com/bentoml/BentoVLLM) - Accelerate your model inference and improve serving throughput by using vLLM as your LLM backend.
-- [BentoDiffusion](https://github.com/bentoml/BentoDiffusion) - Self-host diffusion models with BentoML to generate custom images and video clips.
-- [BentoXTTS](https://github.com/bentoml/BentoXTTS) - Convert text to speech based on your custom audio data.
-- [BentoWhisperX](https://github.com/bentoml/BentoWhisperX) - Convert spoken words into text for AI scenarios like virtual assistants, voice-controlled devices, and automated transcription services.
-- [Sentence Transformer](https://github.com/bentoml/BentoSentenceTransformers) - Transform text into numerical vectors for a variety of natural language processing (NLP) tasks.
-- [BentoCLIP](https://github.com/bentoml/BentoClip) - Build a CLIP (Contrastive Language-Image Pre-training) application for tasks like zero-shot learning, image classification, and image-text matching.
-- [BentoBLIP](https://github.com/bentoml/BentoBlip) - Leverage BLIP (Bootstrapping Language Image Pre-training) to improve the way AI models understand and process the relationship between images and textual descriptions.
-- [BentoBark](https://github.com/bentoml/BentoBark) - Generate highly realistic audio like music, background noise and simple sound effects with Bark.
-- [BentoYolo](https://github.com/bentoml/BentoYolo) - Build an object detection inference API server with YOLO.
-- [RAG](https://github.com/bentoml/rag-tutorials) - Self-host a private RAG app using custom embedding and language models.
-- [BentoChatTTS](https://github.com/bentoml/BentoChatTTS) - Deploy a text-to-speech model ChatTTS for dialogue scenarios like chatbots and virtual assistants.
-- [BentoMoirai](https://github.com/bentoml/BentoMoirai/) - Create a forecasting inference API for time-series data.
-- [BentoResnet](https://github.com/bentoml/BentoResnet) - Build an image classification inference API server with ResNet.
-- [BentoFunctionCalling](https://github.com/bentoml/BentoFunctionCalling/) - Build LLM function calling capabilities with BentoML.
-- [BentoShield](https://github.com/bentoml/BentoShield/) - Build an AI assistant using BentoML and ShieldGemma to evaluate the safety of prompts and filter out harmful content.
-- [BentoLangGraph](https://github.com/bentoml/BentoLangGraph) - Deploy a LangGraph AI agent application with BentoML.
-- [BentoCrewAI](https://github.com/bentoml/BentoCrewAI) - Deploy a CrewAI multi-agent application with BentoML.
+We provide a comprehensive collection of example projects to help you build and scale AI applications with BentoML for different use cases. Check out the [full list](https://docs.bentoml.com/en/latest/use-cases/index.html).