> ## Documentation Index
> Fetch the complete documentation index at: https://docs.fetchhive.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Connect Pinecone

> Connect an API key and select an integrated-embedding index

Connect Pinecone from **Workspace → Integrations** by entering a Pinecone API key. Fetch Hive validates the key by listing indexes and never returns the key in an API response.

Pinecone tools only show ready, dense indexes configured with **Pinecone integrated embedding**. A dense index that stores your own vectors (for example with an `embedding_model` metadata tag) is not enough—Fetch Hive search and write send raw text and rely on Pinecone to embed it. Fetch Hive does not create or reconfigure indexes. See [Pinecone’s indexing overview](https://docs.pinecone.io/guides/index-data/indexing-overview#vector-embedding) for how to create an index with integrated embedding.

Select an existing compatible index and namespace when configuring an agent tool or workflow step. You can also enter a new non-empty namespace; Pinecone creates it on the first write.

Pinecone usage is billed separately by your Pinecone account. Fetch Hive provider-action task limits and credits also apply.