Pinecone integration
Long-term Memory for AI. The Pinecone vector database makes it easy to build high-performance vector search applications. Developer-friendly, fully managed, and easily scalable without infrastructure hassles.
What your agents can do with Pinecone
5 pre-built Pinecone tool steps, ready to drop into any agent. Anything they do not cover, an agent can reach with an authenticated API call.
Actions (5)
Upsert Vector
Writes vectors into a namespace. If a new value is upserted for an existing vector ID, it will overwrite the previous value.
Update Vector
Updates vector in a namespace. If a value is included, it will overwrite the previous value.
Query IDs
Searches a namespace, using a query vector. It retrieves the ids of the most similar items in a namespace, along with their similarity scores.
Fetch Vectors
Looks up and returns vectors by ID, from a single namespace.
Delete Vectors
Deletes one or more vectors by ID, from a single namespace.
Set up Pinecone in Relevance AI
Do this once. Every agent in your workspace can then use the connection.
Create a Relevance AI account
Sign in, or create a free account. You do not need to be a developer to set this up.
Connect your Pinecone account
In Relevance AI, open Integrations and add Pinecone, then paste your API Key. You will find it in your Pinecone account settings.
Use Pinecone in an agent
Create a tool, add a Pinecone tool step, and connect it to an agent. The agent fills in the step's inputs each time it runs.
Put Pinecone to work in your agents
Connect Pinecone alongside 1,800+ other integrations and let your agents run the busywork.