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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).
60 lines
3.3 KiB
Plaintext
60 lines
3.3 KiB
Plaintext
---
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title: Qdrant
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slug: /bundles-qdrant
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---
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import Icon from "@site/src/components/icon";
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import PartialParams from '@site/docs/_partial-hidden-params.mdx';
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import PartialConditionalParams from '@site/docs/_partial-conditional-params.mdx';
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import PartialVectorSearchResults from '@site/docs/_partial-vector-search-results.mdx';
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import PartialVectorStoreInstance from '@site/docs/_partial-vector-store-instance.mdx';
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<Icon name="Blocks" aria-hidden="true" /> [**Bundles**](/components-bundle-components) contain custom components that support specific third-party integrations with Hanzo Flow.
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This page describes the components that are available in the **Qdrant** bundle.
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## Qdrant vector store
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The **Qdrant** component reads and writes to Qdrant vector stores using an instance of `QdrantVectorStore`.
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<details>
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<summary>About vector store instances</summary>
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<PartialVectorStoreInstance />
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</details>
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<PartialVectorSearchResults />
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:::tip
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For a tutorial using a vector database in a flow, see [Create a vector RAG chatbot](/chat-with-rag).
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:::
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### Qdrant vector store parameters
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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.
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<PartialParams />
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<PartialConditionalParams />
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For information about accepted values and functionality, see the [Qdrant documentation](https://qdrant.tech/documentation/) or inspect [component code](/concepts-components#component-code).
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| Name | Type | Description |
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| -------------------- | ------------ | ----------------------------------------- |
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| collection_name | String | Input parameter. The name of the Qdrant collection. |
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| host | String | Input parameter. The Qdrant server host. |
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| port | Integer | Input parameter. The Qdrant server port. |
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| grpc_port | Integer | Input parameter. The Qdrant gRPC port. |
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| api_key | SecretString | Input parameter. The API key for Qdrant. |
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| prefix | String | Input parameter. The prefix for Qdrant. |
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| timeout | Integer | Input parameter. The timeout for Qdrant operations. |
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| path | String | Input parameter. The path for Qdrant. |
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| url | String | Input parameter. The URL for Qdrant. |
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| distance_func | String | Input parameter. The distance function for vector similarity. |
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| content_payload_key | String | Input parameter. The content payload key. |
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| metadata_payload_key | String | Input parameter. The metadata payload key. |
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| search_query | String | Input parameter. The query for similarity search. |
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| ingest_data | Data | Input parameter. The data to be ingested into the vector store. |
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| embedding | Embeddings | Input parameter. The embedding function to use. |
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| number_of_results | Integer | Input parameter. The number of results to return in search. | |