docs/versioned_docs/version-1.8.0/Components/bundles-vectara.mdx
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 contain custom components that support specific third-party integrations with Langflow.
This page describes the components that are available in the Vectara bundle.
The Vectara component reads and writes to Vectara vector stores using an instance of Vectara vector store.
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 or inspect 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. |
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 format.