Minor documentation update and exception message fix to avoid confusion with Google Vertex (#2088)

* Update to use non-deprecated output parser imports

* Update documentation

* Revert "Update to use non-deprecated output parser imports"

This reverts commit 11a969d82b6b2b3659eb7c3c26b5b29a98815834.

* Update rag-with-astradb.mdx

* Update chat.py to clarify error message

vertex in the exception message appears to be confusing with google vertex and causes confusion when used with other providers.

* Minor formatting to highlight the vscode launch file
update the error message

* Fix a couple more error texts
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Madhavan 2024-06-15 10:06:07 -04:00 committed by GitHub
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@ -15,7 +15,7 @@ Please do not try to push directly to this repo unless you are a maintainer.
You can develop Langflow using docker compose, or locally.
We provide a .vscode/launch.json file for debugging the backend in VSCode, which is a lot faster than using docker compose.
We provide a `.vscode/launch.json` file for debugging the backend in VSCode, which is a lot faster than using docker compose.
Setting up hooks:

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@ -146,7 +146,7 @@ The RAG flow is a bit more complex. It consists of:
style={{ width: "80%", margin: "20px auto" }}
/>
To run it all we have to do is click on the 🤖 _Playground_ button and start interacting with your RAG application.
To run it all we have to do is click on the **![Playground icon](/logos/botmessage.svg)Playground** button and start interacting with your RAG application.
<ZoomableImage
alt="Docusaurus themed image"
@ -157,7 +157,7 @@ To run it all we have to do is click on the 🤖 _Playground_ button and start i
style={{ width: "80%", margin: "20px auto" }}
/>
This opens the Playground where you can chat your data.
This opens the Playground where you can chat with your data.
Because this flow has a **Chat Input** and a **Text Output** component, the Panel displays a chat input at the bottom and the Extracted Chunks section on the left.