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langflow/docs/versioned_docs/version-1.8.0/Components/bundles-milvus.mdx
Mendon Kissling b36444f5d9 docs: add versioning (#12218)
* fix: nightly now properly gets 1.9.0 branch (#12215)

before it was attempting to pull release-notes as letters are alphanumerically after numbers when we sort -V then grab tail
now we only look at branch names that follow the pattern '^release-[0-9]+\.[0-9]+\.[0-9]+$'

* docs: add search icon (#12216)

add-back-svg

* initial-content

* cut-1.8-release-and-include-next-version

* stage-1.8.0-and-next

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Co-authored-by: Adam-Aghili <149833988+Adam-Aghili@users.noreply.github.com>
2026-03-18 20:03:49 +00:00

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---
title: Milvus
slug: /bundles-milvus
---
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 **Milvus** bundle.
## Milvus vector store
The **Milvus** component reads and writes to Milvus vector stores using an instance of `Milvus` 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).
:::
### Milvus 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 [Milvus documentation](https://milvus.io/docs) or inspect [component code](/concepts-components#component-code).
| Name | Type | Description |
|-------------------------|---------------|--------------------------------------------------|
| collection_name | String | Input parameter. Name of the Milvus collection. |
| collection_description | String | Input parameter. Description of the Milvus collection. |
| uri | String | Input parameter. Connection URI for Milvus. |
| password | SecretString | Input parameter. Password for Milvus. |
| username | SecretString | Input parameter. Username for Milvus. |
| batch_size | Integer | Input parameter. Number of data to process in a single batch. |
| search_query | String | Input parameter. Query for similarity search. |
| ingest_data | Data | Input parameter. Data to be ingested into the vector store. |
| embedding | Embeddings | Input parameter. Embedding function to use. |
| number_of_results | Integer | Input parameter. Number of results to return in search. |
| search_type | String | Input parameter. Type of search to perform. |
| search_score_threshold | Float | Input parameter. Minimum similarity score for search results. |
| search_filter | Dict | Input parameter. Metadata filters for search query. |
| setup_mode | String | Input parameter. Configuration mode for setting up the vector store. |
| vector_dimensions | Integer | Input parameter. Number of dimensions of the vectors. |
| pre_delete_collection | Boolean | Input parameter. Whether to delete the collection before creating a new one. |