Use the HCD vector store component in Langflow
The self-managed Hyper-Converged Database (HCD) is available as a vector store component within DataStax Langflow, designed to accelerate the development of GenAI applications. Langflow provides a powerful visual framework that enables developers to build GenAI applications using any vector database, embedding model, or LLM supported by Langflow.
Prerequisites
Before you begin, ensure that you have the following:
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A DataStax Langflow account. Sign up here.
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A GenAI application that you want to build or enhance with Langflow.
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A basic understanding of Langflow and GenAI applications.
Configure Langflow with HCD in a local environment
Langflow is configured to access local or remote instances of HCD. This quickstart guide shows you how to configure Langflow with HCD in a local environment.
To configure Langflow with HCD, do the following:
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Use
docker-composeto run HCD with the Data API. -
Load data into HCD if you haven’t already.
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Sign up for DataStax Langflow.
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Add the HCD vector store component from the component library to your Langflow flow.
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Configure Langflow for your GenAI app. For more information, see Use the HCD vector store component in a flow.
Next steps
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See the Langflow quickstart to learn how to construct flows from pre-built Langchain components or build your own using Langflow and the vector-enabled HCD database.
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Learn more about the HCD vector store component.
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Explore more Langflow components.
