Search by meaning in pg\_pinecone
pg\_pinecone can now embed a table's text column with a hosted model, such as gemini-embedding-2, so you can search by meaning without a vector column. It's available in v0.12.1. To upgrade an existing install, see the operator runbook.
Also shipped Nov 8, 2026Pinecone in November 2026 →
Connect your app to PayPal
Lovable apps can now connect to PayPal to handle checkouts, refunds, and order management. This integration supports shop checkouts, donations, and booking deposits.
Qwen Code SDK TypeScript Release v0.1.30
Qwen Code released TypeScript SDK version 0.1.30, bundling CLI version 0.27.0.
Qwen Code Desktop v0.27.0
Qwen Code Desktop version 0.27.0 shipped bug fixes for channel recovery, review thread context in sandboxed PR verification, and performance optimizations for message parsing and leases.
Docling 2.149.0
Docling 2.149.0 adds opt-in embedded PDF image extraction, support for mlx-audio, and a MiniCPM-OCR preset. The CLI has also been refactored for improved usability.
CrewAI 1.15.38
CrewAI 1.15.38 sets gpt-6-luna as the default model and adds features for spreadsheet processing and headless evaluation. It also includes several bug fixes for tracing and API key validation.
feldera 0.380.0
Feldera 0.380.0 introduces incremental constant operators for SQL and enables serving prebuilt pipeline binaries from the compiler.
More from Pinecone platformEvery Pinecone platform release →
New embedding models for document indexes
Pinecone document indexes now support Google's gemini-embedding-2 and OpenAI's text-embedding-3-small and text-embedding-3-large models.
Twice the included embedding tokens through December 31
Pinecone is doubling the included monthly embedding tokens for Starter and Builder organizations through December 31, 2026.
Released pg\_pinecone
The pg_pinecone extension is now available, enabling native vector search within PostgreSQL. It allows users to perform vector searches using the local engine or offload indexing to Pinecone for larger datasets.
Released Pinecone Terraform Provider v5.1.0
Released v5.1.0 of the Terraform Provider for Pinecone. This version adds integrated embedding for document indexes, so Pinecone can embed a string field's text with a hosted model. It also adds on-demand read capacity for BYOC indexes. Indexes created with the top-level embed attribute are now called legacy integrated indexes.
Export usage and cost data with the Admin API
Enterprise organizations can now export usage and cost data through the Admin API as an alternative to downloading a CSV from the console. Create an export covering any period in the last 365 days, poll it until it finishes, then download the zip archive of FOCUS v1.4 CSV files. For the steps, see Download a usage report.
Released Pinecone Terraform Provider v5.0.0
Released v5.0.0 of the Terraform Provider for Pinecone. This version uses API version 2026-07 and adds the schema style for describing indexes, with the schema and deployment attributes. Use it to manage document indexes with dense vector, sparse vector, and full-text-search fields.
Released Go SDK v7.0.0
Released v7.0.0 of the Pinecone Go SDK. This version uses the latest stable API version, 2026-07, and adds support for schema-based document indexes and the Documents API, which brings full-text search to the Go SDK. The v6 release line continues to target 2026-04.
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. Credits already granted stay usable until they expire, 60 days after they were granted. The last balances expire by November 1, 2026. For details, see Understanding cost.