> For the complete documentation index, see [llms.txt](https://docs.flowiseai.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.flowiseai.com/espanol/documentacion-oficial/integraciones/langchain/vector-stores/astradb.md).

# AstraDB

## Configuración

1. Registra una cuenta en [AstraDB](https://astra.datastax.com/)
2. Inicia sesión en el portal. Crea una Base de Datos

<figure><img src="/files/AKWQBLLpxOp4nzLRMUg9" alt=""><figcaption></figcaption></figure>

3. Elige Serverless (Vector), completa el nombre de la Base de Datos, Proveedor y Región

<figure><img src="/files/HIr9B1xzZoRfAp46Uho3" alt="" width="563"><figcaption></figcaption></figure>

4. Después de que la base de datos haya sido configurada, obtén el API Endpoint y genera un Application Token

<figure><img src="/files/Z99BeoVwysd93F0JVU5p" alt=""><figcaption></figcaption></figure>

5. Crea una nueva collection, selecciona la dimensión deseada y la métrica de similitud:

<figure><img src="/files/PBbHOZJauueEoe1PQwgm" alt=""><figcaption></figcaption></figure>

6. De vuelta al canvas de Flowise, arrastra y suelta el nodo Astra. Haz clic en **Create New** en el menú desplegable de Credentials:

<figure><img src="/files/Af72XIgVaj1ALZT7IPcT" alt="" width="235"><figcaption></figcaption></figure>

7. Especifica el API Endpoint y el Application Token:

<figure><img src="/files/oJzJROOVHbli8twkkkSq" alt="" width="563"><figcaption></figcaption></figure>

8. Ahora puedes hacer upsert de datos a AstraDB

<figure><img src="/files/zPCkBJYWaokCEUOWQOlK" alt=""><figcaption></figcaption></figure>

9. Navega de vuelta al portal de Astra, y en tu collection, podrás ver todos los datos que se han insertado:

<figure><img src="/files/XKT16J1NuoQB86lUb5Ad" alt=""><figcaption></figcaption></figure>

10. ¡Comienza a realizar consultas!

<figure><img src="/files/bEK2LrcFEnDf0JJCiZyR" alt=""><figcaption></figcaption></figure>


---

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