pinecone
Implements vector search with Pinecone for semantic similarity and RAG applications. Use when building embeddings-based search, recommendation systems, or retrieval-augmented generation.
npx skills add majiayu000/claude-skill-registry --skill pinecone-mgd34msu-goodvibes-plugin-2 --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Pinecone Vector database for similarity search. Store embeddings and query by semantic meaning for RAG, recommendations, and search. ## Quick Start ```bash npm install @pinecone-database/pinecone ``` ### Setup ```typescript import { Pinecone } from '@pinecone-database/pinecone'; const pinecone = new Pinecone({ apiKey: process.env.PINECONE_API_KEY!, }); const index = pinecone.index('my-index'); ``` ## Index Management ### Create Index ```typescript await pinecone.createIndex({ name: 'my-index', dimension: 1536, // OpenAI embedding dimension metric: 'cosine', // cosine, euclidean, dotproduct spec: { serverless: { cloud: 'aws', region: 'us-east-1', }, }, }); ``` ### List Indexes ```typescript const indexes = await pinecone.listIndexes(); console.log(indexes); ``` ### Describe Index ```typescript const description = await pinecone.describeIndex('my-index'); console.log(description); ``` ### Delete Index ```typescript await pinecone.deleteIndex('my-index'); ``` ## Upsert Vectors ### Basic Upsert ```typescript const index = pinecone.index('my-index'); await index.upsert([ { id: 'doc-1', values: [0.1, 0.2, 0.3, ...], // 1536 dimensions metadata: { title: 'Introduction to AI', category:
- Quick Start
- Setup
- Index Management
- Create Index
- List Indexes
- Describe Index
- Delete Index
- Upsert Vectors
- Basic Upsert
- With Namespace
- Batch Upsert
- Query Vectors
- Basic Query
- With Metadata Filter
npm install @pinecone-database/pinecone
What does the pinecone skill do?
Implements vector search with Pinecone for semantic similarity and RAG applications. Use when building embeddings-based search, recommendation systems, or retrieval-augmented generation.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill pinecone-mgd34msu-goodvibes-plugin-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.