---
title: Vectara
slug: /bundles-vectara
---

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 **Vectara** bundle.

## Vectara vector store

The **Vectara** component reads and writes to Vectara vector stores using an instance of `Vectara` vector store.

<details>
<summary>About vector store instances</summary>

<PartialVectorStoreInstance />

</details>

<PartialVectorSearchResults />

### Vectara 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 [Vectara documentation](https://docs.vectara.com/docs/) or inspect [component code](/concepts-components#component-code).

| Name             | Type         | Description                               |
| ---------------- | ------------ | ----------------------------------------- |
| vectara_customer_id | String     | Input parameter. The Vectara customer ID.                       |
| vectara_corpus_id   | String     | Input parameter. The Vectara corpus ID.                         |
| vectara_api_key   | SecretString | Input parameter. The Vectara API key.                           |
| embedding         | Embeddings   | Input parameter. The embedding function to use (optional).      |
| ingest_data       | List[Document/Data] | Input parameter. The data to be ingested into the vector store. |
| search_query      | String       | Input parameter. The query for similarity search.               |
| number_of_results | Integer      | Input parameter. The number of results to return in search.     |

## Vectara RAG

This component enables Vectara's full end-to-end RAG capabilities with reranking options.

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.

<details>
<summary>About vector store instances</summary>

<PartialVectorStoreInstance />

</details>