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47 lines
2.4 KiB
Plaintext
47 lines
2.4 KiB
Plaintext
---
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title: FAISS
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slug: /bundles-faiss
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---
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import Icon from "@site/src/components/icon";
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import PartialParams from '@site/docs/_partial-hidden-params.mdx';
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import PartialConditionalParams from '@site/docs/_partial-conditional-params.mdx';
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import PartialVectorSearchResults from '@site/docs/_partial-vector-search-results.mdx';
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import PartialVectorStoreInstance from '@site/docs/_partial-vector-store-instance.mdx';
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<Icon name="Blocks" aria-hidden="true" /> [**Bundles**](/components-bundle-components) contain custom components that support specific third-party integrations with Langflow.
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This page describes the components that are available in the **FAISS** bundle.
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## FAISS vector store
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The **FAISS** component provides access to the Facebook AI Similarity Search (FAISS) library through an instance of `FAISS` vector store.
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<details>
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<summary>About vector store instances</summary>
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<PartialVectorStoreInstance />
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</details>
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<PartialVectorSearchResults />
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### FAISS vector store parameters
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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.
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<PartialParams />
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<PartialConditionalParams />
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For information about accepted values and functionality, see the [FAISS documentation](https://faiss.ai/index.html) or inspect [component code](/concepts-components#component-code).
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| Name | Type | Description |
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|---------------------------|---------------|--------------------------------------------------|
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| index_name | String | Input parameter. The name of the FAISS index. Default: "langflow_index". |
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| persist_directory | String | Input parameter. Path to save the FAISS index. It is relative to where Langflow is running. |
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| search_query | String | Input parameter. The query to search for in the vector store. |
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| ingest_data | JSON | Input parameter. The list of data to ingest into the vector store. |
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| allow_dangerous_deserialization | Boolean | Input parameter. Set to `True` to allow loading pickle files from untrusted sources. Default: `True`. |
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| embedding | Embeddings | Input parameter. The embedding function to use for the vector store. |
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| number_of_results | Integer | Input parameter. Number of results to return from the search. Default: 4. | |