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 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.Your Workspace
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

