Files
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

53 lines
2.5 KiB
Plaintext

---
title: Weaviate
slug: /bundles-weaviate
---
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 **Weaviate** bundle.
## Weaviate vector store
The **Weaviate** component reads and writes to Weaviate vector stores using an instance of `Weaviate` vector store.
<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).
:::
### Weaviate 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 [Weaviate documentation](https://weaviate.io/developers/weaviate) or inspect [component code](/concepts-components#component-code).
| Name | Type | Description |
|---------------|--------------|-------------------------------------------|
| weaviate_url | String | Input parameter. The default instance URL. |
| api_key | SecretString | Input parameter. The optional API key for authentication. |
| index_name | String | Input parameter. The optional index name. |
| text_key | String | Input parameter. The default text extraction key. |
| input | Data or DataFrame | Input parameter. The document or record. |
| cache_vector_store | Cache Vector Store | Input parameter. If `true`, the component caches the vector store in memory for faster reads. Default: Enabled (`true`). |
| embedding | Embeddings | Input parameter. Connect an [embedding model component](/components-embedding-models). |
| number_of_results | Integer | Input parameter. The number of search results to return. Default: `4`. |
| search_by_text | Boolean | Input parameter. Indicates whether to search by text. Default: Disabled (`false`). |