Vectara Platform
The Vectara and Vectara RAG components support Vectara vector store, search, and RAG functionality using instances of Vectara vector store.
For more information, see the following:
1. Hidden parameters
2. Vector store instances
3. Vectara documentation
Vectara
The Vectara component reads and writes to Vectara vector stores and then produces search results output.
Vectara parameters
| 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 format.
