# Pinecone

Hosted vector retrieval with metadata and namespace organization.

## Comparison target

Vector · Cloud DBaaS · Managed service

Hosted index and namespace configuration; attached metadata is not classified as a general document database.

Components: No separate catalog component

Revision: 2026-09-14.1 · Review: unreviewed

Commissioned by a Nimbalyst maintainer. Documentation synthesis; no independent review or product execution.

## Applicability

Unpinned upstream documentation accessed 2026-09-14; pin engine, extension and service versions before use.. Hosted index and namespace configuration; attached metadata is not classified as a general document database..

## Claims

- **yes · documented**: Retrieves records by vector similarity. [Pinecone documentation](https://docs.pinecone.io/guides/get-started/overview) Scope: Documented for this target; no runtime tests recorded.
- **yes · documented**: Filters vector retrieval using record metadata. [Pinecone documentation](https://docs.pinecone.io/guides/get-started/overview) Scope: Documented for this target; no runtime tests recorded.
- **yes · documented**: Provides hosted vector indexes. [Pinecone documentation](https://docs.pinecone.io/guides/get-started/overview) Scope: Documented for this target; no runtime tests recorded.

## Open questions

- Which pinned versions, topology and service tier fit the intended workload?
- What are measured correctness, latency, recovery and total operating cost under that workload?

## Verification plan

1. Pin the target configuration and define workload fixtures, access and budget.
2. With authorization, test concurrent writes and recovery against explicit correctness expectations.
3. For vector workloads, measure filtered recall against an exact-search baseline and record index settings.

Last checked: 2026-09-14. Recheck by: 2026-10-14.

Content rights: Unlicensed prototype; redistribution decision pending.