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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@ -15,7 +15,7 @@ Please do not try to push directly to this repo unless you are a maintainer.
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You can develop Langflow using docker compose, or locally.
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We provide a .vscode/launch.json file for debugging the backend in VSCode, which is a lot faster than using docker compose.
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We provide a `.vscode/launch.json` file for debugging the backend in VSCode, which is a lot faster than using docker compose.
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Setting up hooks:
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@ -146,7 +146,7 @@ The RAG flow is a bit more complex. It consists of:
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style={{ width: "80%", margin: "20px auto" }}
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/>
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To run it all we have to do is click on the 🤖 _Playground_ button and start interacting with your RAG application.
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To run it all we have to do is click on the **Playground** button and start interacting with your RAG application.
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<ZoomableImage
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alt="Docusaurus themed image"
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@ -157,7 +157,7 @@ To run it all we have to do is click on the 🤖 _Playground_ button and start i
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style={{ width: "80%", margin: "20px auto" }}
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/>
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This opens the Playground where you can chat your data.
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This opens the Playground where you can chat with your data.
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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.
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