Update README.md

README.md

@@ -9,21 +9,7 @@ pinned: false
 [Installation](https://pixeltable.github.io/pixeltable/getting-started/) | [Documentation](https://pixeltable.readme.io/) | [API Reference](https://pixeltable.github.io/pixeltable/) | [Code Samples](https://github.com/pixeltable/pixeltable?tab=readme-ov-file#-code-samples) | [Computer Vision](https://docs.pixeltable.com/docs/object-detection-in-videos) | [LLM](https://docs.pixeltable.com/docs/document-indexing-and-rag)
 </div>
 
-Pixeltable is a Python library providing a declarative interface for multimodal data (text, images, audio, video). It features built-in versioning, lineage tracking, and incremental updates, enabling users to **store**, **transform**, **index**, and **iterate** on data for their ML workflows.
-
-Data transformations, model inference, and custom logic are embedded as **computed columns**.
-- **Load/Query all data types**: Interact with [video data](https://github.com/pixeltable/pixeltable?tab=readme-ov-file#import-media-data-into-pixeltable-videos-images-audio) at the [frame level](https://github.com/pixeltable/pixeltable?tab=readme-ov-file#text-and-image-similarity-search-on-video-frames-with-embedding-indexes) and documents at the [chunk level](https://github.com/pixeltable/pixeltable?tab=readme-ov-file#automate-data-operations-with-views-eg-split-documents-into-chunks)
-- **Incremental updates for data transformation**: Maintain an [embedding index](https://docs.pixeltable.com/docs/embedding-vector-indexes) colocated with your data
-- **Lazy evaluation and cache management**: Eliminates the need for [manual frame extraction](https://docs.pixeltable.com/docs/object-detection-in-videos)
-- **Integrates with any Python libraries**: Use [built-in and custom functions (UDFs)](https://docs.pixeltable.com/docs/user-defined-functions-udfs) without complex pipelines
-- **Data format agnostic and extensibility**: Access tables as Parquet files, [PyTorch datasets](https://pixeltable.github.io/pixeltable/api/data-frame/#pixeltable.DataFrame.to_pytorch_dataset), or [COCO annotations](https://pixeltable.github.io/pixeltable/api/table/#pixeltable.Table.to_coco_dataset)
-
-## 💾 Installation
-
-```python
-pip install pixeltable
-```
-**Pixeltable is persistent. Unlike in-memory Python libraries such as Pandas, Pixeltable is a database.**
+Pixeltable is a Python library providing a declarative interface for multimodal data (text, images, audio, video). It features built-in versioning, lineage tracking, and incremental updates, enabling users to **store**, **transform**, **index**, and **iterate** on data for their ML workflows. Data transformations, model inference, and custom logic are embedded as **computed columns**. **Pixeltable is persistent. Unlike in-memory Python libraries such as Pandas, Pixeltable is a database.**
 
 ## 🧱 Code Samples
 
@@ -63,9 +49,4 @@ sim = frames_view.frame.similarity(sample_text)
 frames_view.order_by(sim, asc=False).limit(5).select(frames_view.frame, sim=sim).collect()
 
 ```
-Learn how to work with [Embedding and Vector Indexes](https://docs.pixeltable.com/docs/embedding-vector-indexes).
-
-## 🐛 Contributions & Feedback
-
-Are you experiencing issues or bugs with Pixeltable? File an [Issue](https://github.com/pixeltable/pixeltable/issues).
-</br>Do you want to contribute? Feel free to open a [PR](https://github.com/pixeltable/pixeltable/pulls).
+Learn how to work with [Embedding and Vector Indexes](https://docs.pixeltable.com/docs/embedding-vector-indexes).