Update README.md

Added embedding in the key points.

README.md

@@ -75,7 +75,7 @@ The key points of DIANNA:
  *   Implements well-known XAI methods LIME, RISE and KernelSHAP, chosen by systematic and objective evaluation criteria
  *   Comes with a dashboard where  results of different explainers can be compared for all data types
  *   Supports the de-facto standard of neural network models - ONNX
- *   Supports images, text, time series, and tabular data modalities, embeddings are currently being developed
+ *   Supports images, text, time series, tabular data modalities and embeddings (in a related [package](https://github.com/dianna-ai/explainable_embedding))
  *   Comes with simple intuitive image, text, time series, and tabular benchmarks, so can help you with your XAI research
  *   Includes scientific use-cases tutorials
  *   Easily extendable to other XAI methods