Pinecone is a fully managed vector database purpose-built for machine learning applications. It provides fast approximate nearest neighbor search with filtering, real-time index updates, and horizontal scaling. Pinecone handles the infrastructure complexity of vector search, allowing teams to focus on building semantic search, recommendation engines, and RAG pipelines.
Store document embeddings in Pinecone and query for the most relevant chunks to inject as context into LLM prompts, enabling accurate retrieval-augmented generation.
Replace keyword search with meaning-based search by embedding queries and documents, then finding the closest vectors regardless of exact word matches.
Generate item or user embeddings and use similarity search to find related products, articles, or users for personalized recommendations.
import { Pinecone } from "@pinecone-database/pinecone";const pc = new Pinecone({ apiKey: process.env.PINECONE_API_KEY! });const index = pc.index(process.env.PINECONE_INDEX_NAME!);export async function searchSimilarDocuments(embedding: number[], topK = 5) {const results = await index.namespace("documents").query({vector: embedding,topK,includeMetadata: true,filter: { status: { $eq: "published" } },});return results.matches.map((match) => ({id: match.id,score: match.score,title: match.metadata?.title as string,content: match.metadata?.content as string,}));}
Seamless integration, great documentation. Set up in under 10 minutes.
2 days ago
Works well for our use case. Would love to see more webhook event types.
1 week ago
Excellent compliance coverage. HIPAA audit trail works perfectly.
2 weeks ago
| Key | Description | Example |
|---|---|---|
| PINECONE_API_KEY | API key for Pinecone access | pcsk_xxxxxxxxxxxxxxxxxxxxxxxx |
| PINECONE_INDEX_NAME | Name of your Pinecone index | my-embeddings-index |
Pinecone is a managed vector database optimized for fast similarity search across billions of vectors. It provides sub-100ms query latency, metadata filtering, and real-time index updates without infrastructure management. Pinecone is the go-to choice for RAG pipelines, semantic search, and recommendation systems that require production-grade vector search at scale.