Merge pull request #10 from timescale/billy-the-fish-patch-1

Link the python tutorial back to GitHub source.

README.md

@@ -11,7 +11,7 @@ Timescale Vector enables you to power AI applications using PostgreSQL to store
 - [Timescale Vector LangChain Integration](https://python.langchain.com/docs/integrations/vectorstores/timescalevector)
 - [Timescale Vector LlamaIndex Integration](https://gpt-index.readthedocs.io/en/stable/examples/vector_stores/Timescalevector.html)
 - [Timescale Vector Python Client Library](https://github.com/timescale/python-vector)
-- [Timescale Vector Python Tutorial](https://timescale.github.io/python-vector/tsv_python_getting_started_tutorial.html)
+- [Timescale Vector Python Tutorial](https://github.com/timescale/python-vector/blob/main/nbs/tsv_python_getting_started_tutorial.ipynb)
 
 ## Sample Applications
 - [TSV Time Machine](https://github.com/timescale/vector-cookbook/tree/main/tsv_timemachine): Chat with git the commit history of any repo. Stack: LlamaIndex, Streamlit, Timescale Vector (PostgreSQL), Python. [Live demo](https://pg-timemachine.streamlit.app/TimeMachine_Demo)
@@ -21,4 +21,4 @@ Timescale Vector enables you to power AI applications using PostgreSQL to store
 - [Nearest Neighbor Indexes: What Are ivfflat Indexes in pgvector and How Do They Work](https://www.timescale.com/blog/nearest-neighbor-indexes-what-are-ivfflat-indexes-in-pgvector-and-how-do-they-work/)
 - [Introduction to LangChain for LLM applications using pgvector as a vectorstore](https://github.com/timescale/vector-cookbook/tree/main/intro_langchain_pgvector)
 
-Note: If you need to setup Python, pyenv and Jupyter on your Mac, follow [this handy tutorial](https://www.timescale.com/blog/jupyter-notebook-tutorial-setup-python-and-jupyter-notebooks-macos/).
+Note: If you need to setup Python, pyenv and Jupyter on your Mac, follow [this handy tutorial](https://www.timescale.com/blog/jupyter-notebook-tutorial-setup-python-and-jupyter-notebooks-macos/).