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Update HuggingFace Spaces URLs

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Gabriel Luiz Freitas Almeida 2024-04-03 22:37:18 -03:00
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docs/docs/getting-started/hugging-face-spaces.mdx
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## 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!
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@ -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";
import ZoomableImage from "/src/theme/ZoomableImage.js";

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docs/docs/starter-projects/rag-with-astradb.mdx
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@ -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
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## (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