> For the complete documentation index, see [llms.txt](https://docs.flowiseai.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.flowiseai.com/integrations/langchain/chains/vectara-chain.md).

# Vectara QA Chain

A chain for performing question-answering tasks with Vectara.

<figure><img src="/files/2BE8dvGYIjI95bHrdak9" alt=""><figcaption></figcaption></figure>

## Definitions

**A retrieval-based question-answering chain**, which integrates with a Vectara retrieval component and allows you to configure input parameters and perform question-answering tasks.

## Inputs

* [Vectara Store](/integrations/langchain/vector-stores/vectara.md)

## Parameters

| Name                   | Description                                                   |
| ---------------------- | ------------------------------------------------------------- |
| Summarizer Prompt Name | model to be used in generating the summary                    |
| Response Language      | desired language for the response                             |
| Max Summarized Results | number of top results to use in summarization (defaults to 7) |

## Outputs

| Name           | Description                   |
| -------------- | ----------------------------- |
| VectaraQAChain | Final node to return response |