chore(deps-dev): bump @pinecone-database/pinecone from 8.2.0 to 9.0.0

[dependabot]

Bumps @pinecone-database/pinecone from 8.2.0 to 9.0.0.

Release notes

Sourced from @​pinecone-database/pinecone's releases.

Release v9.0.0

Pinecone TypeScript SDK v9.0.0

v9 brings schema-based document operations into the main client, adds recurring backup schedules, and targets Pinecone API version 2026-07. It requires Node.js 22 or later.

Classic vector methods such as index.upsert, query, and fetch remain available, and deprecated flat control methods retain supported v8 request shapes. Review the breaking changes below for response-type changes, preview migration, and index-configuration restrictions. The v9 migration guide provides the detailed upgrade reference.

What's new

Work with schema-based documents through the main client

Search documents by vector similarity or full text, return selected fields, and update records by ID or filter through the main client. Use pc.indexes.create to define searchable fields in schema.fields, then access documents through pc.index('my-index').namespace('my-namespace').documents. The accessor provides upsert, search, fetch, update, delete, and list.

For example, create a full-text index and search product descriptions:

import { Pinecone } from '@pinecone-database/pinecone';
const pc = new Pinecone();
await pc.indexes.create({
name: 'product-documents',
schema: {
fields: {
description: { type: 'string', fullTextSearch: {} },
},
},
waitUntilReady: true,
});
const documents = pc.index('product-documents').namespace('catalog').documents;
await documents.upsert({
documents: [
{ _id: 'shoe-1', description: 'Waterproof hiking shoes' },
{ _id: 'shoe-2', description: 'Lightweight running shoes' },
],
});
// Newly written documents may take a moment to become searchable.
const results = await documents.search({
scoreBy: [{ type: 'text', fields: ['description'], query: 'hiking shoes' }],
topK: 5,
includeFields: ['description'],
});
console.log(results.matches);

Document operations replace the pc.preview document methods. Classic vector indexes continue using vector methods, and integrated-embedding indexes use upsertRecords and searchRecords.

Schedule recurring backups

... (truncated)

Commits

• fca1f72 [skip ci] Publish release v9.0.0
• 2d60e31 fix: grant release workflow pull request read permission
• 9a34bfe Merge pull request #172 from pinecone-io/codex/document-search-guides
• f171d4d Merge remote-tracking branch 'origin/main'
• 4447b8d docs: cover document search and backup schedules
• bb6e99f Add TypeScript SDK public sync script
• 3b783ba Merge pull request #171 from pinecone-io/codex/land-legacy-compatibility
• cefaf20 Merge legacy capacity and named option fixes into release candidate
• bfe8c3e Merge pull request #164 from pinecone-io/codex/issue-157
• f350d60 Merge pull request #143 from pinecone-io/codex/legacy-index-response
• Additional commits viewable in compare view

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Project	Deployment	Actions	Updated
vecstore-sdk	Ready	Preview	Sep 18, 2026 6:30pm UTC

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Review the following changes in direct dependencies. Learn more about Socket for GitHub.

Diff	Package	Supply Chain Security	Vulnerability	Quality	Maintenance	License
	@​pinecone-database/​pinecone@​8.2.0 ⏵ 9.0.0	+2			-4

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commit: 1771f1e