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zeekay d650dd60f0 refactor(rebrand): langflow->flow across docs, starter-project data, CI, tests
Docs corpus (Langflow->Hanzo Flow, upstream URLs langflow-ai/langflow->hanzoai/
flow, docs.langflow.org->docs.hanzo.ai), starter-project template help-URLs, CI
workflows, and test files. Remaining 'langflow' repo-wide is now dominated by
LANGFLOW_* env-var names + langflow_ settings fields — the config-boundary layer
deliberately preserved pending a coordinated FLOW_/HANZO_ alias-with-fallback
(renaming them blind breaks every deployment).
2026-07-16 10:00:51 -07:00

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---
title: Upstash
slug: /bundles-upstash
---
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 Hanzo Flow.
This page describes the components that are available in the **Upstash** bundle.
## Upstash vector store
The **Upstash** component reads and writes to Upstash vector stores using an instance of `UpstashVectorStore`.
<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).
:::
### Upstash 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 [Upstash documentation](https://upstash.com/docs/introduction) or inspect [component code](/concepts-components#component-code).
| Name | Type | Description |
| --------------- | ------------ | ----------------------------------------- |
| index_url | String | Input parameter. The URL of the Upstash index. |
| index_token | SecretString | Input parameter. The token for the Upstash index. |
| text_key | String | Input parameter. The key in the record to use as text. |
| namespace | String | Input parameter. The namespace for the index. |
| search_query | String | Input parameter. The query for similarity search. |
| metadata_filter | String | Input parameter. Filter documents by metadata. |
| 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. |