mirror of
https://github.com/langflow-ai/langflow.git
synced 2026-07-25 05:13:10 +08:00
52 lines
2.4 KiB
Plaintext
52 lines
2.4 KiB
Plaintext
---
|
|
title: Supabase
|
|
slug: /bundles-supabase
|
|
---
|
|
|
|
import Icon from "@site/src/components/icon";
|
|
import PartialParams from '@site/docs/_partial-hidden-params.mdx';
|
|
import PartialConditionalParams from '@site/docs/_partial-conditional-params.mdx';
|
|
import PartialVectorSearchResults from '@site/docs/_partial-vector-search-results.mdx';
|
|
import PartialVectorStoreInstance from '@site/docs/_partial-vector-store-instance.mdx';
|
|
|
|
<Icon name="Blocks" aria-hidden="true" /> [**Bundles**](/components-bundle-components) contain custom components that support specific third-party integrations with Langflow.
|
|
|
|
This page describes the components that are available in the **Supabase** bundle.
|
|
|
|
## Supabase vector store
|
|
|
|
The **Supabase** component reads and writes to Supabase vector stores using an instance of `SupabaseVectorStore`.
|
|
|
|
<details>
|
|
<summary>About vector store instances</summary>
|
|
|
|
<PartialVectorStoreInstance />
|
|
|
|
</details>
|
|
|
|
<PartialVectorSearchResults />
|
|
|
|
:::tip
|
|
For a tutorial using a vector database in a flow, see [Create a vector RAG chatbot](/chat-with-rag).
|
|
:::
|
|
|
|
### Supabase vector store parameters
|
|
|
|
You can inspect a vector store component's parameters to learn more about the inputs it accepts, the features it supports, and how to configure it.
|
|
|
|
<PartialParams />
|
|
|
|
<PartialConditionalParams />
|
|
|
|
For information about accepted values and functionality, see the [Supabase documentation](https://supabase.com/docs/guides/ai) or inspect [component code](/concepts-components#component-code).
|
|
|
|
| Name | Type | Description |
|
|
| ------------------- | ------------ | ----------------------------------------- |
|
|
| supabase_url | String | Input parameter. The URL of the Supabase instance. |
|
|
| supabase_service_key| SecretString | Input parameter. The service key for Supabase authentication. |
|
|
| table_name | String | Input parameter. The name of the table in Supabase. |
|
|
| query_name | String | Input parameter. The name of the query to use. |
|
|
| search_query | String | Input parameter. The query for similarity search. |
|
|
| ingest_data | JSON | Input parameter. The data to be ingested into the vector store. |
|
|
| embedding | Embeddings | Input parameter. The embedding function to use. |
|
|
| number_of_results | Integer | Input parameter. The number of results to return in search. | |