AI Devtools Radar

Pinecone

Vector databaseswww.pinecone.io13 published changes

2 sources under watch

Change timeline

positioning

Added comparison messaging to pricing page highlighting Pinecone against pgvector, Elasticsearch, Vertex AI and other alternatives.

Users evaluating Pinecone pricing now see direct comparisons with competing solutions, potentially strengthening positioning against alternatives like pgvector, Elasticsearch, and Vertex AI.

Evidence
+Weighing this against what you run today? The Pinecone comparisons cover pgvector, Elasticsearch, Vertex AI, and more.

www.pinecone.io

featurehigh

Full-text search and Documents API reach general availability

Developers can now use production-ready full-text search (BM25) combined with dense and sparse vector search in single indexes, with advanced querying, filtering, and bulk document operations.

Evidence
+General availability: Full-text search and the Documents API Full-text search is now generally available on API version 2026-07, built on the new Documents API.Create schema-based document indexes that combine full-text (BM25), dense-vector, and sparse-vector ranking fields in a single index.

docs.pinecone.io

pricinghigh

Bulk import credit of $250 (1 TB) no longer offered for new subscriptions

New Standard and Enterprise customers will no longer receive the one-time $250 bulk import credit and will be billed at $0.25/GB for all imports from object storage.

Evidence
+Bulk import credit is no longer offered New Standard and Enterprise subscriptions no longer receive the one-time $250 bulk import credit (1 TB). Imports from object storage are billed at the standard $0.25/GB rate.

docs.pinecone.io

deprecationhigh

cohere-rerank-3.5 deprecation deadline moved from July 31 to August 31, 2026

Customers have one additional month (extended from July 31 to August 31) to migrate rerank requests to cohere-rerank-4-fast before automatic migration occurs.

Evidence
Through July 31, 2026: cohere-rerank-3.5 continues to serve requests as before. August 1, 2026: requests to cohere-rerank-3.5 are automatically served by cohere-rerank-4-fast.
+Through August 30, 2026: cohere-rerank-3.5 continues to serve requests as before. August 31, 2026: requests to cohere-rerank-3.5 are automatically served by cohere-rerank-4-fast.

docs.pinecone.io

api

Cohere reranking API updated from v3.5 to 4-fast with pricing unit terminology change

Developers using Cohere reranking through Pinecone will need to update integrations to use the new cohere-rerank-4-fast model. Pricing unit terminology changed from 'requests' to 'rerank units' at the same $2/1k rate.

Evidence
cohere-rerank-v3.5 $2/1k requests
+cohere-rerank-4-fast $2/1k rerank units

www.pinecone.io · also seen at 1 more source

feature

Index fullness metrics now available for dedicated read nodes via Prometheus/Datadog integration

Users with dedicated read nodes can now monitor index fullness over time through monitoring integrations, enabling better capacity planning.

Evidence
+Index fullness metrics for dedicated read nodes Indexes that use dedicated read nodes now emit index fullness as time-series metrics. Monitor fullness over time via the Prometheus or Datadog integration.

docs.pinecone.io

other

New reciprocal rank fusion (RRF) guide removed from release notes

The RRF guide announcement is no longer featured in the 2026 release notes.

Evidence
2026-08-11 Search New guide: reciprocal rank fusion (RRF) Added a guide on reciprocal rank fusion, a client-side method for combining the results of separate searches (for example, full-text and semantic) into one ranking without normalizing scores. RRF fuses rankings rather than raw scores, so it needs no per-signal weighting.

docs.pinecone.io

feature

New guide published on reciprocal rank fusion (RRF) for search result ranking

Developers can now learn how to combine results from multiple search methods (full-text and semantic) using RRF, a client-side ranking technique that fuses rankings without requiring score normalization or per-signal weighting.

Evidence
+New guide: reciprocal rank fusion (RRF) Added a guide on reciprocal rank fusion, a client-side method for combining the results of separate searches (for example, full-text and semantic) into one ranking without normalizing scores. RRF fuses rankings rather than raw scores, so it needs no per-signal weighting.

docs.pinecone.io

feature

Pinecone Terraform Provider v4.0.0 released with service account and organization management resources

Users can now manage service accounts, role bindings, organization invites, and members through Terraform, with new data sources and import support for all resources.

Evidence
+Released Pinecone Terraform Provider v4.0.0 Released v4.0.0 of the Terraform Provider for Pinecone. This version adds resources for managing service accounts, role bindings, organization invites, and removing organization members. It also adds data sources for reading existing indexes, collections, projects, service accounts, role bindings, invites, and users, and terraform import support for every resource.

docs.pinecone.io · also seen at 1 more source

pricing

Free plan renamed to Starter plan in bulk import credit eligibility

Users on the Free plan are now called Starter plan and remain ineligible for the $250 bulk import credit along with Builder plan users.

Evidence
Builder and Free plans are not eligible.
+Builder and Starter plans are not eligible.

docs.pinecone.io

featurehigh

Full-text search now supports fuzzy matching with typo tolerance

Users can now perform typo-tolerant searches in query_string searches by appending ~ to terms, with configurable edit distance (0-2) or automatic distance based on term length. No reindexing required on existing indexes.

Evidence
+Fuzzy matching (typo tolerance) — In a query_string search, append ~ to a term to match indexed terms within a small edit distance: body:(compxter~1) matches computer. Use term~ for an automatic distance based on term length, or term~N for a fixed distance (N is 0–2). Fuzzy works on existing indexes with no reindex.

docs.pinecone.io · also seen at 1 more source

other

Role naming change: 'User' role renamed to 'Manager' for organizations and projects

Existing role assignments are automatically migrated. The organization-level User role is now Organization manager, and project-level User role is now Project manager. Permissions remain unchanged.

Evidence
+If you used the previous role model, the User role has been renamed to Manager: the organization-level User role is now Organization manager, and the project-level User role is now Project manager. This is a name change only—permissions are unchanged and existing assignments are migrated automatically.

docs.pinecone.io

feature

Bring Your Own Cloud (BYOC) option added to Pinecone pricing page

Users now have the option to deploy Pinecone on their own cloud infrastructure, providing more control and flexibility over data residency and compliance requirements.

Evidence
+Bring Your Own Cloud (BYOC) Bring Your Own Cloud (BYOC)

www.pinecone.io · also seen at 1 more source