Pinecone
Running a semantic search or checking what's in a vector index usually means a script and a client library. Hubi works with your Pinecone indexes to upsert vectors, run similarity queries, and fetch or delete records, so you can build and inspect the memory behind an AI app by describing what you want.
USE CASES
How businesses use Pinecone + Hubi AI
Real automation scenarios powered by this integration.
Run a similarity search over an index
Give Hubi a query vector or text and it searches your Pinecone index, returning the closest matches with their scores.
Upsert vectors into an index
Tell Hubi to add or update records and it upserts the vectors and metadata into the Pinecone index you name.
Fetch or delete records by ID
Hubi can pull a record by its ID to inspect it, or delete vectors you no longer want from the index.
Check an index's stats and namespaces
Ask Hubi about an index and it returns vector counts, dimensions, and namespaces so you know what's stored.
HOW IT WORKS
Get started in 3 steps
No workflows to build. Just connect, chat, and automate.
Connect Pinecone
Authorize your account with one click. Hubi AI gets secure access to 48 tools.
Talk to your agent
Describe what you need in plain language. Your AI agent understands context and picks the right tools.
Watch it work
The agent reads, sends, labels, and organizes on your behalf - no manual setup required.
Everything you need to know about Pinecone + Hubi AI
The Hubi AI Pinecone integration connects your tools and data to your AI marketing agents. Start automating workflows in minutes.
Hubi authenticates with an API key from your Pinecone account. It acts on the indexes that key can reach and works against your existing environment and host, within your plan's limits.
Ready to connect Pinecone to Hubi AI?
Start automating your workflows in minutes. No credit card required.
