Cross-region transfer fee for restores
UpdateyesterdayUnverifiedAdded Oct 14, 2026
Restoring a backup into a different region now incurs a cross-region transfer fee on top of the standard restore price. The fee is charged per GB and depends on the cloud provider and the backup's region. Restoring into the same region as the backup is billed as before. The fee appears on your invoice as Serverless Cross-Region Transfer.
More Pinecone Database releases
Every Pinecone Database releaseEnd of life: Pinecone Local
Pinecone Local, the in-memory Docker emulator for local development and testing, has reached end of life and is no longer available. Its documentation has been removed. To develop and test your applications, use a separate project in your Pinecone account.
Namespace aliases
A namespace alias is a stable, repointable name that points at a namespace. Your application reads through the alias, and you can swap the data it reads by atomically repointing the alias to a different namespace in the same index, with no redeploy. Manage aliases through the REST API on version 2026-07 or later.
Pod-to-serverless migration supports up to 500 million records
Migrating a pod-based index to serverless now supports indexes with up to 500 million records, up from 50 million. If you need to migrate a larger index, contact Support before you start.
Higher namespace limit on the Enterprise plan
The Enterprise limit for namespaces per serverless index is now 1,000,000. Pinecone can accommodate more for specific use cases. Contact Support to request a higher limit.
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. Query them with BM25 token matching, Lucene query syntax, or vector similarity, narrowed by metadata and text-match filters.
Egress metering and monthly egress allowances
Pinecone now meters egress, the data returned to you on reads. Each plan includes a monthly egress allowance: 1 GB on Starter, 10 GB on Builder, and 100 GB on Standard and Enterprise. Egress is metered on reads that return record data, such as query, fetch, list, and search. Writes, index statistics, and index management requests aren't metered.
BYOC stores cluster metadata in FoundationDB
BYOC deployments run FoundationDB inside your Kubernetes cluster to store cluster metadata, with no managed database to operate.
General availability: Bring Your Own Cloud (BYOC)
BYOC is now generally available and recommended for production usage on the Enterprise plan, across AWS, GCP, and Azure. BYOC runs the Pinecone data plane inside your own cloud account, so your vectors, metadata, and queries stay in your environment.
Also shipped on Oct 13, 2026
Pinecone in October 2026What's included:
- Three training methods: Supervised fine-tuning (SFT) , direct preference optimization (DPO) , and reinforcement learning with group relative policy optimization (GRPO) . Each method trains a low-rank adapter (LoRA) or the full model weights. Custom loss functions : Train with any objective you compute in PyTorch from the model's log-probabilities.
The AI.AGG function is generally available (GA)
The AI.AGG function is generally available (GA). You can use this function to semantically aggregate unstructured input data based on natural language instructions.
BigQuery generative AI functions now support the gemini-4-argon model
BigQuery generative AI functions now support the gemini-4-argon model. This model is generally available .
Gemini 4 Argon in CodeMender (Preview)
CodeMender now supports Gemini 4 Argon. To use it, pass --model gemini-4-argon to cm find , cm verify , or cm fix . Gemini 3.8 Flash remains the default model. For more information, see Specifying the model .
Gemini 4 Argon and Gemini 4 Argon Cyber Permissive
Gemini 4 Argon ( gemini-4-argon ) is available in General Availability (GA) . Gemini 4 Argon is Google's frontier model that excels at deep work in complex, real-world tasks across domains including coding, finance, legal, cybersecurity, and science.
On-demand state repartitioning is now generally available
On-demand state repartitioning is now generally available. You can resize the number of shuffle partitions for a stateful Structured Streaming query or Lakeflow pipeline without losing checkpoint state. See On-demand state repartitioning for stateful streaming queries .