Pinecone

Prerequisite

1. Register an account for Pinecone
2. Click Create index

3. Fill in required fields:
   • Index Name, name of the index to be created. (e.g. “flowise-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)

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 category
   • Embeddings can be connected with any node under Embeddings category

5. Verify from Pinecone dashboard to see if data has been successfully upserted:

Resources

• LangChain Pinecone vectorstore integrations
  • Python
  • NodeJS
• Pinecone LangChain integration
• Pinecone Flowise integration
• Pinecone official clients