mirror of
https://github.com/langflow-ai/langflow.git
synced 2026-07-25 11:10:43 +08:00
53 lines
2.5 KiB
Plaintext
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 Langflow.
|
|
|
|
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 | JSON or Table | 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`). | |