Merge branch 'dev' into two_edges_merge
This commit is contained in:
Lucas Oliveira
commit
850de6b952
384 changed files with 7789 additions and 1840 deletions
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@ -181,9 +181,8 @@ Use the widget API to customize your Chat Widget:
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format {<span>"key":"value"</span>}.
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</Admonition>
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| Prop | Type | Required | Description |
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|-----------------------|---------|----------|------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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| --------------------- | ------- | -------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| bot_message_style | JSON | No | Applies custom formatting to bot messages. |
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| chat_input_field | String | Yes | Defines the type of the input field for chat messages. |
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| chat_inputs | JSON | Yes | Determines the chat input elements and their respective values. |
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@ -207,4 +206,3 @@ Use the widget API to customize your Chat Widget:
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| user_message_style | JSON | No | Determines the formatting for user messages in the chat window. |
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| width | Number | No | Sets the width of the chat window in pixels. |
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| window_title | String | No | Sets the title displayed in the chat window's header or title bar. |
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@ -86,7 +86,7 @@ With _`LANGFLOW_AUTO_LOGIN`_ set to _`False`_, Langflow requires users to sign u
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light: useBaseUrl("img/sign-up.png"),
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dark: useBaseUrl("img/sign-up.png"),
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}}
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style={{ width: "40%", margin: "20px auto" }}
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style={{ width: "40%", margin: "20px auto" }}
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/>
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## Profile settings
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@ -40,14 +40,13 @@ The Playground's appearance changes depending on what components are in your can
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Adding or removing any of the below components modifies your Playground so you can monitor the inputs and outputs.
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* Chat Input
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* Text Input
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* Chat Output
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* Text Output
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* Records Output
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* Inspect Memory
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- Chat Input
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- Text Input
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- Chat Output
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- Text Output
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- Records Output
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- Inspect Memory
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You can also select **Options** > **Logs** to see your flow's logs.
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For more information, see [Inputs and Outputs](../components/inputs-and-outputs.mdx).
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@ -48,8 +48,8 @@ One significant capability of the Chat Input component is its ability to transfo
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<ZoomableImage
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alt="Docusaurus themed image"
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sources={{
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light: ("img/playground-chat.png"),
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dark: ("img/playground-chat.png"),
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light: "img/playground-chat.png",
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dark: "img/playground-chat.png",
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}}
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style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }}
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/>
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@ -38,7 +38,6 @@ For example, the [Basic prompting](../starter-projects/basic-prompting.mdx) flow
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style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }}
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/>
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In this flow, the **OpenAI LLM component** receives input (left side) and produces output (right side) - in this case, receiving input from the **Chat Input** and **Prompt** components and producing output to the **Chat Output** component.
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## Component
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@ -86,7 +86,7 @@ You'll be presented with the following screen:
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light: "img/duplicate-space.png",
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dark: "img/duplicate-space.png",
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}}
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style={{ width: "80%", maxWidth: "800px", margin: "0 auto" }}
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style={{ width: "80%", maxWidth: "800px", margin: "0 auto" }}
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/>
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Name your Space, define the visibility (Public or Private), and click on **Duplicate Space** to start the installation process. When installation is finished, you'll be redirected to the Space's main page to start using Langflow right away!
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@ -32,8 +32,9 @@ There are two possible reasons for this error:
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Clear the cache by deleting the contents of the cache folder.
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This folder can be found at:
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- **Linux or WSL2 on Windows**: `home/<username>/.cache/langflow/`
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- **MacOS**: `/Users/<username>/Library/Caches/langflow/`
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- **Linux or WSL2 on Windows**: `home/<username>/.cache/langflow/`
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- **MacOS**: `/Users/<username>/Library/Caches/langflow/`
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This error can occur during Langflow upgrades when the new version can't override `langflow-pre.db` in `.cache/langflow/`. Clearing the cache removes this file but will also erase your settings.
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@ -33,7 +33,7 @@ Build a question-and-answer chatbot with a document loaded from local memory.
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light: "img/document-qa.png",
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dark: "img/document-qa.png",
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}}
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style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }}
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style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }}
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/>
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This flow creates a basic chatbot with the **Chat Input**, **Prompt**, **OpenAI**, and **Chat Output** components.
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@ -13,7 +13,8 @@ In this guide, we will use Astra DB as a vector store to store and retrieve the
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<Admonition type="tip">
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This guide assumes that you have Langflow up and running. If you are new to
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Langflow, you can check out the [Getting Started](../getting-started/install-langflow.mdx) guide.
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Langflow, you can check out the [Getting
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Started](../getting-started/install-langflow.mdx) guide.
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</Admonition>
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TLDR;
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