Pinecone

Production-ready vector search with Pinecone cloud database.

Quick Start

skill-seekers scrape --format pinecone --config configs/react.json

Setup

  1. Get API Key from Pinecone Console

  2. Install dependencies:

pip install pinecone-client
  1. Upload to Pinecone:
from pinecone import Pinecone, ServerlessSpec
import json

# Initialize
pc = Pinecone(api_key="your-api-key")

# Create index
index = pc.Index("react-docs")

# Load and upsert data
with open("output/react-pinecone.json") as f:
    data = json.load(f)
    
index.upsert(vectors=data)

Features

  • ✅ Serverless - Pay only for what you use
  • ✅ Metadata filtering - Filter by category, source
  • ✅ Hybrid search - Combine semantic + keyword
  • ✅ High availability - Production-ready SLA

Query Example

# Query
results = index.query(
    vector=embedding,
    top_k=5,
    filter={"category": "api"}
)

Next Steps