Another batch of renaming Record to Data
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@ -130,10 +130,10 @@ The RAG flow is a bit more complex. It consists of:
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- **Chat Input** component that defines where to put the user input coming from the Playground
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- **OpenAI Embeddings** component that generates embeddings from the user input
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- **Astra DB Search** component that retrieves the most relevant Records from the Astra DB database
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- **Text Output** component that turns the Records into Text by concatenating them and also displays it in the Playground
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- **Astra DB Search** component that retrieves the most relevant Data from the Astra DB database
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- **Text Output** component that turns the Data into Text by concatenating them and also displays it in the Playground
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- One interesting point you'll see here is that this component is named `Extracted Chunks`, and that is how it will appear in the Playground
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- **Prompt** component that takes in the user input and the retrieved Records as text and builds a prompt for the OpenAI model
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- **Prompt** component that takes in the user input and the retrieved Data as text and builds a prompt for the OpenAI model
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- **OpenAI** component that generates a response to the prompt
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- **Chat Output** component that displays the response in the Playground
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@ -170,7 +170,7 @@ Because this flow has a **Chat Input** and a **Text Output** component, the Pane
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style={{ width: "80%", margin: "20px auto" }}
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/>
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Once we interact with it we get a response and the Extracted Chunks section is updated with the retrieved records.
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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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@ -186,4 +186,16 @@ And that's it! You have successfully ran a RAG application using Astra DB and La
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# Conclusion
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In this guide, we have learned how to run a RAG application using Astra DB and Langflow.
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We have seen how to create an Astra DB database, import the Astra DB RAG Flows project into Langflow, and run the ingestion and RAG flows.
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We have seen how to create an Astra DB database, import the Astra DB RAG Flows project into Langflow, and run the ingestion and RAG flows.import ThemedImage from "@theme/ThemedImage";
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import useBaseUrl from "@docusaurus/useBaseUrl";
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import ZoomableImage from "/src/theme/ZoomableImage.js";
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import Admonition from "@theme/Admonition";import ThemedImage from "@theme/ThemedImage";
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import useBaseUrl from "@docusaurus/useBaseUrl";
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import ZoomableImage from "/src/theme/ZoomableImage.js";
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import Admonition from "@theme/Admonition";import ThemedImage from "@theme/ThemedImage";
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import useBaseUrl from "@docusaurus/useBaseUrl";
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import ZoomableImage from "/src/theme/ZoomableImage.js";
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import Admonition from "@theme/Admonition";import ThemedImage from "@theme/ThemedImage";
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import useBaseUrl from "@docusaurus/useBaseUrl";
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import ZoomableImage from "/src/theme/ZoomableImage.js";
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import Admonition from "@theme/Admonition";
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