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60 lines
2.6 KiB
Plaintext
60 lines
2.6 KiB
Plaintext
---
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title: Vectara
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slug: /bundles-vectara
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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 Langflow.
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This page describes the components that are available in the **Vectara** bundle.
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## Vectara vector store
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The **Vectara** component reads and writes to Vectara vector stores using an instance of `Vectara` vector store.
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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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### Vectara 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 [Vectara documentation](https://docs.vectara.com/docs/) or inspect [component code](/concepts-components#component-code).
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| Name | Type | Description |
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| ---------------- | ------------ | ----------------------------------------- |
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| vectara_customer_id | String | Input parameter. The Vectara customer ID. |
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| vectara_corpus_id | String | Input parameter. The Vectara corpus ID. |
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| vectara_api_key | SecretString | Input parameter. The Vectara API key. |
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| embedding | Embeddings | Input parameter. The embedding function to use (optional). |
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| ingest_data | List[Document/Data] | Input parameter. The data to be ingested into the vector store. |
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| search_query | String | Input parameter. The query for similarity search. |
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| number_of_results | Integer | Input parameter. The number of results to return in search. |
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## Vectara RAG
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This component enables Vectara's full end-to-end RAG capabilities with reranking options.
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This component uses a `Vectara` vector store to execute the vector search and reranking functions, and then outputs an **Answer** string in [`Message`](/data-types#message) format.
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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> |