Adds an index for the example set in the examples

examples/README.md

@@ -16,3 +16,17 @@ You can run any example with the following commands:
 pip install -r examples/<example>/requirements.txt # use your favorite package manager/venv tool
 python examples/<example>/application.py
 ```
+
+Note we have a few more in [other-examples](other-examples/), but those do not yet adhere to the same format/are as well documented.
+
+# Index
+
+- [simple-chatbot-intro](simple-chatbot-intro/) - This is a simple chatbot that shows how to use Burr to create a simple chatbot. This is a good starting point for understanding how to use Burr -- the notebook follows the original [blog post](https://blog.dagworks.io/p/burr-develop-stateful-ai-applications).
+- [conversational-rag](conversational-rag/) - This example shows how to use Burr to create a conversational RAG chatbot. This shows how to use state/prior knowledge to augment your LLM call with Burr.
+- [hello-world-counter](hello-world-counter/) - This is an example of a simple state machine, used in the docs.
+- [llm-adventure-game](llm-adventure-game/) - This is an example of a simple text-based adventure game using LLMs -- it shows how to progress through hidden states while reusing components.
+- [ml-training](ml-training/) - This is an example of a simple ML training pipeline. It shows how to use Burr to track the training of a model. This is not complete.
+- [multi-agent-collaboration](multi-agent-collaboration/) - This example shows how to use Burr to create a multi-agent collaboration. This is a clone of the following [LangGraph example](https://github.com/langchain-ai/langgraph/blob/main/examples/multi_agent/multi-agent-collaboration.ipynb).
+- [multi-modal-chatbot](multi-modal-chatbot/) - This example shows how to use Burr to create a multi-modal chatbot. This demonstrates how to use a model to delegate to other models conditionally.
+- [streaming-overview](streaming-overview/) - This example shows how we can use the streaming API to respond to return quicker results to the user and build a seamless experience
+- [tracing-and-spans](tracing-and-spans/) - This example shows how to use Burr to create a simple chatbot with additional visibility. This is a good starting point for understanding how to use Burr's tracing functionality.