# Pinecone
## Prerequisite
1. Register an account for [Pinecone](https://app.pinecone.io/)
2. Click **Create index**
3. Fill in required fields:
* **Index Name**, name of the index to be created. (e.g. "test")
* **Dimensions**, size of the vectors to be inserted in the index. (e.g. 1536)
4. Click **Create Index**
## Setup
1. Get/Create your **API Key**
2. Add a new **Pinecone** node to canvas and fill in the parameters:
* Pinecone Index
* Pinecone namespace (optional)
Pinecone Node
3. Create new Pinecone credential -> Fill in **API Key**
4. Add additional nodes to canvas and start the upsert process
* **Document** can be connected with any node under [**Document Loader**](https://tailwindsdocs.innovativesol.com/readme/chatflows/langchain/document-loaders) category
Document loaders and text splitters for LlamaIndex are not yet available, but using one of the ones available under LangChain will still allow querying with LlamaIndex as normal.
\- \*\*Embeddings\*\* can be connected with any node under \[\*\*Embeddings\*\* ]\(../embeddings/)category
5. Verify on [Pinecone dashboard](https://app.pinecone.io) that data has been successfully upserted:
