Retrieval and vector

Pinecone

Managed vector database with nothing to operate.

made by
Pinecone

Magic Ship is one shop in Vancouver, BC, working remotely with clients worldwide. We are not a partner, reseller, or certified vendor of Pinecone - we just build with this.

What Pinecone is

Pinecone is a hosted vector database. Indexes scale with usage, and it supports metadata filtering, namespaces for separating tenants, and both dense and sparse vectors for hybrid retrieval. There is no cluster to run and no index build to hand-tune.

How we use it

We use it when a team wants retrieval in production without taking on another database to operate, or when the corpus is large enough that pgvector index maintenance would become somebody's job. Namespaces map to tenants, so isolation is enforced by the store rather than by a WHERE clause we have to get right in every query path.

Where it is the wrong choice

It is closed and hosted, so vectors leave the client's infrastructure and the cost model is the vendor's to change; for regulated clients that ends the discussion. Keeping the index in sync with the source of truth is also your problem, because the documents live in a different database.

Building something on Pinecone?

Send the problem rather than a job spec. You get an answer on scope, on fit, and on whetherPinecone is even the right call for it.

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Pinecone and Pinecone are trademarks of their respective owners, used here to say what we work with.