---
title: FAISS
slug: /bundles-faiss
---

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 **FAISS** bundle.

## FAISS vector store

The **FAISS** component provides access to the Facebook AI Similarity Search (FAISS) library through an instance of `FAISS` vector store.

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

<PartialVectorStoreInstance />

</details>

<PartialVectorSearchResults />

### FAISS 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 [FAISS documentation](https://faiss.ai/index.html) or inspect [component code](/concepts-components#component-code).

| Name                      | Type          | Description                                      |
|---------------------------|---------------|--------------------------------------------------|
| index_name                 | String        | Input parameter. The name of the FAISS index. Default: "langflow_index". |
| persist_directory          | String        | Input parameter. Path to save the FAISS index. It is relative to where Langflow is running. |
| search_query               | String        | Input parameter. The query to search for in the vector store.     |
| ingest_data                | JSON | Input parameter. The list of data to ingest into the vector store. |
| allow_dangerous_deserialization | Boolean  | Input parameter. Set to `True` to allow loading pickle files from untrusted sources. Default: `True`. |
| embedding                  | Embeddings    | Input parameter. The embedding function to use for the vector store. |
| number_of_results          | Integer       | Input parameter. Number of results to return from the search. Default: 4. |