---
title: Pinecone
slug: /bundles-pinecone
---

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 **Pinecone** bundle.

## Pinecone vector store

The **Pinecone** component reads and writes to Pinecone vector stores using an instance of `PineconeVectorStore`.

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

<PartialVectorStoreInstance />

</details>

<PartialVectorSearchResults />

:::tip
For a tutorial using a vector database in a flow, see [Create a vector RAG chatbot](/chat-with-rag).
:::

### Pinecone 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 [Pinecone documentation](https://docs.pinecone.io/home) or inspect [component code](/concepts-components#component-code).

| Name              | Type         | Description                               |
| ----------------- | ------------ | ----------------------------------------- |
| index_name        | String       | Input parameter. The name of the Pinecone index.                |
| namespace         | String       | Input parameter. The namespace for the index.                   |
| distance_strategy | String       | Input parameter. The strategy for calculating distance between vectors. |
| pinecone_api_key  | SecretString | Input parameter. The API key for Pinecone.                      |
| text_key          | String       | Input parameter. The key in the record to use as text.          |
| search_query      | String       | Input parameter. The query for similarity search.               |
| ingest_data       | Data         | Input parameter. The data to be ingested into the vector store. |
| embedding         | Embeddings   | Input parameter. The embedding function to use.                 |
| number_of_results | Integer      | Input parameter. The number of results to return in search.     |