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langflow/docs/versioned_docs/version-1.8.0/Components/bundles-qdrant.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: Qdrant
slug: /bundles-qdrant
---
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 **Qdrant** bundle.
## Qdrant vector store
The **Qdrant** component reads and writes to Qdrant vector stores using an instance of `QdrantVectorStore`.
<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).
:::
### Qdrant 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 [Qdrant documentation](https://qdrant.tech/documentation/) or inspect [component code](/concepts-components#component-code).
| Name | Type | Description |
| -------------------- | ------------ | ----------------------------------------- |
| collection_name | String | Input parameter. The name of the Qdrant collection. |
| host | String | Input parameter. The Qdrant server host. |
| port | Integer | Input parameter. The Qdrant server port. |
| grpc_port | Integer | Input parameter. The Qdrant gRPC port. |
| api_key | SecretString | Input parameter. The API key for Qdrant. |
| prefix | String | Input parameter. The prefix for Qdrant. |
| timeout | Integer | Input parameter. The timeout for Qdrant operations. |
| path | String | Input parameter. The path for Qdrant. |
| url | String | Input parameter. The URL for Qdrant. |
| distance_func | String | Input parameter. The distance function for vector similarity. |
| content_payload_key | String | Input parameter. The content payload key. |
| metadata_payload_key | String | Input parameter. The metadata payload key. |
| search_query | String | Input parameter. The query for similarity search. |
| ingest_data | Data | 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. |