remove-install-from-starter-projects
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@ -6,9 +6,7 @@ import Admonition from "@theme/Admonition";
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# 📦 Install Langflow
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<Admonition type="info">
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Langflow v1.0 alpha is also available in [HuggingFace Spaces](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true). Try it out or follow the instructions [here](./install-langflow##huggingface-spaces) to install it locally.
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Langflow v1.0 alpha is also available in HuggingFace Spaces. [Clone the space using this link](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true), to create your own Langflow workspace in minutes.
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</Admonition>
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Langflow requires [Python 3.10](https://www.python.org/downloads/release/python-3100/) and [pip](https://pypi.org/project/pip/) or [pipx](https://pipx.pypa.io/stable/installation/) to be installed on your system.
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@ -10,12 +10,12 @@ This guide demonstrates how to build a basic prompt flow and modify that prompt
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## Prerequisites
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* [Langflow installed](./install-langflow.mdx)
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* [Langflow installed and running](./install-langflow.mdx)
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* [OpenAI API key](https://platform.openai.com)
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<Admonition type="info">
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Langflow v1.0 alpha is also available in [HuggingFace Spaces](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true). Try it out or follow the instructions [here](./install-langflow##huggingface-spaces) to install it locally.
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Langflow v1.0 alpha is also available in HuggingFace Spaces. [Clone the space using this link](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true) to create your own Langflow workspace in minutes.
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</Admonition>
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## Hello World - Basic Prompting
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@ -26,9 +26,11 @@ Its intuitive interface allows for easy manipulation of AI building blocks, enab
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- [Quickstart](/getting-started/quickstart) - Create a flow and run it.
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- [HuggingFace Spaces](/getting-started/huggingface-spaces) - Duplicate the Langflow preview space and try it out before you install.
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- [Langflow Canvas](/getting-started/canvas) - Learn more about the Langflow canvas.
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- [New to LLMs?](/getting-started/new-to-llms) - Learn more about LLMs, prompting, and more at [promptingguide.ai](https://promptingguide.ai).
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<Admonition type="info">
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Langflow v1.0 alpha is also available in HuggingFace Spaces. [Clone the space using this link](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true) to create your own Langflow workspace in minutes.
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</Admonition>
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## Learn more about Langflow 1.0
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@ -14,36 +14,14 @@ This article demonstrates how to use Langflow's prompt tools to issue basic prom
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## Prerequisites
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1. Install Langflow.
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```bash
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python -m pip install langflow --pre
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```
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* [Langflow installed and running](../getting-started/install-langflow.mdx)
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2. Start a local Langflow instance with the Langflow CLI:
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```bash
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langflow run
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```
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Or start Langflow with Python:
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```bash
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python -m langflow run
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```
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Result:
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```
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│ Welcome to ⛓ Langflow │
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│ │
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│ Access http://127.0.0.1:7860 │
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│ Collaborate, and contribute at our GitHub Repo 🚀 │
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```
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* [OpenAI API key created](https://platform.openai.com)
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<Admonition type="info">
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Langflow v1.0 alpha is also available in [HuggingFace Spaces](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true). Try it out or follow the instructions [here](/getting-started/huggingface-spaces) to install it locally.
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Langflow v1.0 alpha is also available in HuggingFace Spaces. [Clone the space using this link](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true) to create your own Langflow workspace in minutes.
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</Admonition>
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3. Create an [OpenAI API key](https://platform.openai.com).
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## Create the basic prompting project
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1. From the Langflow dashboard, click **New Project**.
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@ -10,36 +10,14 @@ Build a blog writer with OpenAI that uses URLs for reference content.
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## Prerequisites
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1. Install Langflow.
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```bash
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python -m pip install langflow --pre
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```
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* [Langflow installed and running](../getting-started/install-langflow.mdx)
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2. Start a local Langflow instance with the Langflow CLI:
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```bash
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langflow run
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```
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Or start Langflow with Python:
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```bash
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python -m langflow run
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```
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Result:
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```bash
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│ Welcome to ⛓ Langflow │
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│ │
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│ Access http://127.0.0.1:7860 │
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│ Collaborate, and contribute at our GitHub Repo 🚀 │
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```
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* [OpenAI API key created](https://platform.openai.com)
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<Admonition type="info">
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Langflow v1.0 alpha is also available in [HuggingFace Spaces](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true). Try it out or follow the instructions [here](/getting-started/huggingface-spaces) to install it locally.
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Langflow v1.0 alpha is also available in HuggingFace Spaces. [Clone the space using this link](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true) to create your own Langflow workspace in minutes.
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</Admonition>
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3. Create an [OpenAI API key](https://platform.openai.com).
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## Create the Blog Writer project
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1. From the Langflow dashboard, click **New Project**.
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@ -10,36 +10,14 @@ Build a question-and-answer chatbot with a document loaded from local memory.
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## Prerequisites
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1. Install Langflow.
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```bash
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python -m pip install langflow --pre
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```
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* [Langflow installed and running](../getting-started/install-langflow.mdx)
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2. Start a local Langflow instance with the Langflow CLI:
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```bash
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langflow run
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```
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Or start Langflow with Python:
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```bash
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python -m langflow run
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```
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Result:
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```
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│ Welcome to ⛓ Langflow │
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│ │
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│ Access http://127.0.0.1:7860 │
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│ Collaborate, and contribute at our GitHub Repo 🚀 │
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```
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* [OpenAI API key created](https://platform.openai.com)
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<Admonition type="info">
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Langflow v1.0 alpha is also available in [HuggingFace Spaces](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true). Try it out or follow the instructions [here](/getting-started/huggingface-spaces) to install it locally.
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Langflow v1.0 alpha is also available in HuggingFace Spaces. [Clone the space using this link](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true) to create your own Langflow workspace in minutes.
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</Admonition>
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3. Create an [OpenAI API key](https://platform.openai.com).
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## Create the Document QA project
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1. From the Langflow dashboard, click **New Project**.
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@ -10,36 +10,14 @@ This flow extends the [basic prompting flow](./basic-prompting.mdx) to include c
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## Prerequisites
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1. Install Langflow.
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```bash
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python -m pip install langflow --pre
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```
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* [Langflow installed and running](../getting-started/install-langflow.mdx)
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2. Start a local Langflow instance with the Langflow CLI:
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```bash
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langflow run
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```
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Or start Langflow with Python:
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```bash
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python -m langflow run
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```
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Result:
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```
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│ Welcome to ⛓ Langflow │
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│ │
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│ Access http://127.0.0.1:7860 │
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│ Collaborate, and contribute at our GitHub Repo 🚀 │
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```
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* [OpenAI API key created](https://platform.openai.com)
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<Admonition type="info">
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Langflow v1.0 alpha is also available in [HuggingFace Spaces](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true). Try it out or follow the instructions [here](/getting-started/huggingface-spaces) to install it locally.
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Langflow v1.0 alpha is also available in HuggingFace Spaces. [Clone the space using this link](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true) to create your own Langflow workspace in minutes.
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</Admonition>
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3. Create an [OpenAI API key](https://platform.openai.com).
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## Create the memory chatbot project
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1. From the Langflow dashboard, click **New Project**.
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@ -17,10 +17,10 @@ We've chosen [Astra DB](https://astra.datastax.com/signup?utm_source=langflow-pr
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## Prerequisites
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<Admonition type="info">
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Langflow v1.0 alpha is also available in [HuggingFace Spaces](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true). Try it out or follow the instructions [here](../getting-started/huggingface-spaces) to install it locally.
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Langflow v1.0 alpha is also available in HuggingFace Spaces. [Clone the space using this link](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true) to create your own Langflow workspace in minutes.
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</Admonition>
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* [Langflow installed](../getting-started/install-langflow.mdx)
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* [Langflow installed and running](../getting-started/install-langflow.mdx)
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* [OpenAI API key](https://platform.openai.com)
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