docs: clean up configuration folder (#7426)
* remove-config-pages * redirect-and-remove-from-sidebars * add-note-about-backend-only * redirects-and-sidebar * fix-plaintext-linting-errors * cli-page
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@ -170,18 +170,18 @@ If you wish to retain your files, back them up before clearing the folder.
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Installing Langflow with `pip install langflow` slowly fails with this error message:
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```plain
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```text
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pip is looking at multiple versions of <<library>> to determine which version is compatible with other requirements. This could take a while.
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```
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To work around this issue, install Langflow with [`uv`](https://docs.astral.sh/uv/getting-started/installation/) instead of `pip`.
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```plain
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```text
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uv pip install langflow
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```
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To run Langflow with uv:
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```plain
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```text
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uv run langflow run
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```
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@ -89,7 +89,7 @@ You created a chatbot application with Langflow, but let's try an experiment.
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1. Ask the bot: `Who won the Oscar in 2024 for best movie?`
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2. The bot's response is similar to this:
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```plain
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```text
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I'm sorry, but I don't have information on events or awards that occurred after
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October 2023, including the Oscars in 2024.
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You may want to check the latest news or the official Oscars website
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@ -162,7 +162,7 @@ If you used Langflow's **Global Variables** feature, the RAG application flow co
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1. Modify the **Prompt** component to contain variables for both `{user_question}` and `{context}`.
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The `{context}` variable gives the bot additional context for answering `{user_question}` beyond what the LLM was trained on.
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```plain
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```text
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Given the context
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{context}
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Answer the question
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@ -175,7 +175,7 @@ This example uploads an up-to-date CSV about Oscar winners.
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4. Ask the bot: `Who won the Oscar in 2024 for best movie?`
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5. The bot's response should be similar to this:
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```plain
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```text
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The Oscar for Best Picture in 2024 was awarded to "Oppenheimer,"
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produced by Emma Thomas, Charles Roven, and Christopher Nolan.
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```
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