diff --git a/README.md b/README.md index 8d243a0dc..894252501 100644 --- a/README.md +++ b/README.md @@ -15,7 +15,7 @@ [![GitHub fork](https://img.shields.io/github/forks/logspace-ai/langflow?style=social)](https://github.com/logspace-ai/langflow/fork) [![Twitter](https://img.shields.io/twitter/url/https/twitter.com/langflow_ai.svg?style=social&label=Follow%20%40langflow_ai)](https://twitter.com/langflow_ai) [![](https://dcbadge.vercel.app/api/server/EqksyE2EX9?compact=true&style=flat)](https://discord.com/invite/EqksyE2EX9) -[![HuggingFace Spaces](https://huggingface.co/datasets/huggingface/badges/raw/main/duplicate-this-space-md.svg)](https://huggingface.co/spaces/Logspace/Langflow-Preview?duplicate=true) +[![HuggingFace Spaces](https://huggingface.co/datasets/huggingface/badges/raw/main/duplicate-this-space-md.svg)](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true) [![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://codespaces.new/logspace-ai/langflow) @@ -62,7 +62,7 @@ langflow run # or langflow --help ### HuggingFace Spaces -You can also check it out on HuggingFace Spaces and run it in your browser for free! [Click here to duplicate the Space](https://huggingface.co/spaces/Logspace/Langflow-Preview?duplicate=true) +You can also check it out on HuggingFace Spaces and run it in your browser for free! [Click here to duplicate the Space](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true) # 🖥️ Command Line Interface (CLI) diff --git a/docs/docs/getting-started/hugging-face-spaces.mdx b/docs/docs/getting-started/hugging-face-spaces.mdx index c61a99f32..aa71db6c3 100644 --- a/docs/docs/getting-started/hugging-face-spaces.mdx +++ b/docs/docs/getting-started/hugging-face-spaces.mdx @@ -2,7 +2,7 @@ ## TLDR; -A fully featured version of Langflow can be accessed via [HuggingFace Spaces](https://huggingface.co/spaces/Logspace/Langflow-Preview?duplicate=true) with no installation required. All you gotta do is [duplicate the Space](https://huggingface.co/spaces/Logspace/Langflow-Preview?duplicate=true) and you'll have your own copy to play around with! +A fully featured version of Langflow can be accessed via [HuggingFace Spaces](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true) with no installation required. All you gotta do is [duplicate the Space](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true) and you'll have your own copy to play around with! --- @@ -10,7 +10,7 @@ A fully featured version of Langflow can be accessed via [HuggingFace Spaces](ht HuggingFace provides great support for running Langflow in their Spaces environment. This means you can run Langflow without any installation required. -The first step is to go to the [Langflow Space](https://huggingface.co/spaces/Logspace/Langflow-Preview?duplicate=true). +The first step is to go to the [Langflow Space](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true). You'll be greeted with the following screen: @@ -27,4 +27,4 @@ From here, you can rename your Space, define the visibility (Public or Private) import ThemedImage from "@theme/ThemedImage"; import useBaseUrl from "@docusaurus/useBaseUrl"; -import ZoomableImage from "/src/theme/ZoomableImage.js"; \ No newline at end of file +import ZoomableImage from "/src/theme/ZoomableImage.js"; diff --git a/docs/docs/starter-projects/rag-with-astradb.mdx b/docs/docs/starter-projects/rag-with-astradb.mdx index 3afd81fd6..54aebd2d2 100644 --- a/docs/docs/starter-projects/rag-with-astradb.mdx +++ b/docs/docs/starter-projects/rag-with-astradb.mdx @@ -19,7 +19,7 @@ In this guide, we will use Astra DB as a vector store to store and retrieve the TLDR; - [Create a free Astra DB account](https://astra.datastax.com/signup?utm_source=langflow-pre-release&utm_medium=referral&utm_campaign=langflow-announcement&utm_content=create-a-free-astra-db-account) -- Duplicate our [Langflow 1.0 Space](https://huggingface.co/spaces/Logspace/Langflow-Preview?duplicate=true) +- Duplicate our [Langflow 1.0 Space](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true) - Create a new database, get a **Token** and the **API Endpoint** - Click on the **New Project** button and look for Vector Store RAG. This will create a new project with the necessary components - Import the project into Langflow by dropping it on the Canvas or My Collection page @@ -73,7 +73,7 @@ Now we are all set to start building our RAG application using Astra DB and Lang ## (Optional) Duplicate the Langflow 1.0 HuggingFace Space -If you haven't already, now is the time to launch Langflow. To make things easier, you can duplicate our [Langflow 1.0 Space](https://huggingface.co/spaces/Logspace/Langflow-Preview?duplicate=true) which sets up a Langflow instance just for you. +If you haven't already, now is the time to launch Langflow. To make things easier, you can duplicate our [Langflow 1.0 Space](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true) which sets up a Langflow instance just for you. ## Open the Vector Store RAG Project