refactor: remove some preview references
This commit is contained in:
Rodrigo
Gabriel Luiz Freitas Almeida
parent
147f075877
commit
4e01178d1c
10 changed files with 26 additions and 57 deletions
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@ -8,7 +8,7 @@ import Admonition from "@theme/Admonition";
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The **Chat Memory** component restores previous messages given a Session ID, which can be any string.
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This component is available under the **Helpers** tab of the Langflow preview.
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This component is available under the **Helpers** tab of the Langflow sidebar.
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<div
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style={{ marginBottom: "20px", display: "flex", justifyContent: "center" }}
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@ -12,7 +12,7 @@ The **Combine Text** component concatenates two text inputs into a single chunk
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Also, check out **Combine Texts (Unsorted)** as a similar alternative.
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This component is available under the **Helpers** tab of the Langflow preview.
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This component is available under the **Helpers** tab of the Langflow sidebar.
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<div
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style={{ marginBottom: "20px", display: "flex", justifyContent: "center" }}
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@ -19,9 +19,8 @@ In this guide, we will use Astra DB as a vector store to store and retrieve the
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TLDR;
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- [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)
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- Duplicate our [Langflow 1.0 Space](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true)
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- Create a new database, get a **Token** and the **API Endpoint**
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- Click on the **New Project** button and look for Vector Store RAG. This will create a new project with the necessary components
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- Start Langflow and click on the **New Project** button and look for Vector Store RAG. This will create a new project with the necessary components
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- Import the project into Langflow by dropping it on the Workspace or My Collection page
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- Update the **Token** and **API Endpoint** in the **Astra DB** components
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- Update the OpenAI API key in the **OpenAI** components
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@ -71,16 +70,12 @@ Once your database is initialized, to the right of the page, you will see the _D
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Now we are all set to start building our RAG application using Astra DB and Langflow.
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## (Optional) Duplicate the Langflow 1.0 HuggingFace Space
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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.
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## Open the Vector Store RAG Project
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To get started, click on the **New Project** button and look for the **Vector Store RAG** project. This will open a starter project with the necessary components to run a RAG application using Astra DB.
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<ZoomableImage
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alt="Docusaurus themed image"
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alt="Drag-and-drop"
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sources={{
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light: "img/drag-and-drop-flow.png",
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dark: "img/drag-and-drop-flow.png",
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@ -100,7 +95,7 @@ The ingestion flow consists of:
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- **Astra DB** component that stores the text chunks in the Astra DB database
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<ZoomableImage
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alt="Docusaurus themed image"
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alt="Astra Ingestion"
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sources={{
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light: "img/astra-ingestion-flow.png",
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dark: "img/astra-ingestion-flow.png",
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@ -122,7 +117,7 @@ Now, let's update the **Astra DB** and **Astra DB Search** components with the *
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And run it! This will ingest the Text data from your file into the Astra DB database.
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<ZoomableImage
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alt="Docusaurus themed image"
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alt="Astra Run"
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sources={{
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light: "img/astra-ingestion-run.png",
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dark: "img/astra-ingestion-run.png",
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@ -155,7 +150,7 @@ The RAG flow is a bit more complex. It consists of:
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To run it all we have to do is click on the ⚡ _Run_ button and start interacting with your RAG application.
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<ZoomableImage
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alt="Docusaurus themed image"
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alt="Astra RAG"
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sources={{
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light: "img/astra-rag-flow-run.png",
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dark: "img/astra-rag-flow-run.png",
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@ -168,7 +163,7 @@ This opens the Playground where you can chat your data.
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Because this flow has a **Chat Input** and a **Text Output** component, the Panel displays a chat input at the bottom and the Extracted Chunks section on the left.
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<ZoomableImage
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alt="Docusaurus themed image"
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alt="Playground"
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sources={{
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light: "img/astra-rag-flow-interaction-panel.png",
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dark: "img/astra-rag-flow-interaction-panel.png",
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@ -179,7 +174,7 @@ Because this flow has a **Chat Input** and a **Text Output** component, the Pane
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Once we interact with it we get a response and the Extracted Chunks section is updated with the retrieved data.
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<ZoomableImage
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alt="Docusaurus themed image"
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alt="Astra Playground"
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sources={{
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light: "img/astra-rag-flow-interaction-panel-interaction.png",
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dark: "img/astra-rag-flow-interaction-panel-interaction.png",
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@ -29,11 +29,13 @@ Its intuitive interface allows for easy manipulation of AI building blocks, enab
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- [Langflow Workspace](/getting-started/workspace) - Learn more about the Langflow Workspace.
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<Admonition type="info">
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Langflow is also available in HuggingFace Spaces. [Clone the space using this
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link](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true)
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to run your own Langflow instance in minutes.
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</Admonition>
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{/* Mentions wrong link */}
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{/\* <Admonition type="info">
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Langflow is also available in HuggingFace Spaces. [Clone the space using this
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link](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true)
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to run your own Langflow instance in minutes.
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</Admonition> */}
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## Learn more about Langflow 1.0
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@ -18,13 +18,6 @@ This article demonstrates how to use Langflow's prompt tools to issue basic prom
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- [OpenAI API key created](https://platform.openai.com)
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<Admonition type="info">
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Langflow is also available in HuggingFace Spaces. [Clone the space
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using this
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link](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true)
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to create your own Langflow workspace in minutes.
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</Admonition>
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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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@ -62,4 +55,4 @@ This should be interesting...
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The **Edit Prompt** window opens.
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2. Change `Answer the user as if you were a pirate` to a different character, perhaps `Answer the user as if you were Harold Abelson.`
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3. Run the basic prompting flow again.
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The response will be markedly different.
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The response will be markedly different.
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@ -14,12 +14,13 @@ Build a blog writer with OpenAI that uses URLs for reference content.
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- [OpenAI API key created](https://platform.openai.com)
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<Admonition type="info">
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Langflow is also available in HuggingFace Spaces. [Clone the space
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using this
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link](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true)
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to create your own Langflow workspace in minutes.
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</Admonition>
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{/\* <Admonition type="info">
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Langflow is also available in HuggingFace Spaces. [Clone the space
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using this
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link](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true)
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to create your own Langflow workspace in minutes.
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</Admonition> */}
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## Create the Blog Writer project
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@ -14,13 +14,6 @@ Build a question-and-answer chatbot with a document loaded from local memory.
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- [OpenAI API key created](https://platform.openai.com)
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<Admonition type="info">
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Langflow is also available in HuggingFace Spaces. [Clone the space
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using this
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link](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true)
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to create your own Langflow workspace in minutes.
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</Admonition>
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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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@ -14,13 +14,6 @@ This flow extends the [basic prompting flow](./basic-prompting) to include chat
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- [OpenAI API key created](https://platform.openai.com)
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<Admonition type="info">
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Langflow is also available in HuggingFace Spaces. [Clone the space
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using this
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link](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true)
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to create your own Langflow workspace in minutes.
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</Admonition>
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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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@ -81,4 +74,4 @@ To store **Session ID** as a Langflow variable, in the **Session ID** field, cli
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1. In the **Variable Name** field, enter a name like `customer_chat_emea`.
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2. In the **Value** field, enter a value like `1B5EBD79-6E9C-4533-B2C8-7E4FF29E983B`.
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3. Click **Save Variable**.
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4. Apply this variable to **Chat Input**.
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4. Apply this variable to **Chat Input**.
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@ -16,13 +16,6 @@ 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 is also available in HuggingFace Spaces. [Clone the space
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using this
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link](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true)
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to create your own Langflow workspace in minutes.
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</Admonition>
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- [Langflow installed and running](../getting-started/install-langflow)
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- [OpenAI API key](https://platform.openai.com)
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@ -20,9 +20,8 @@ In this guide, we will use Astra DB as a vector store to store and retrieve the
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TLDR;
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- [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)
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- Duplicate our [Langflow 1.0 Space](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true)
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- Create a new database, get a **Token** and the **API Endpoint**
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- Click on the **New Project** button and look for Vector Store RAG. This will create a new project with the necessary components
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- Start Langflow and click on the **New Project** button and look for Vector Store RAG. This will create a new project with the necessary components
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- Import the project into Langflow by dropping it on the Workspace or My Collection page
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- Update the **Token** and **API Endpoint** in the **Astra DB** components
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- Update the OpenAI API key in the **OpenAI** components
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