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Build knowledgeable AI

Pinecone serverless lets you deliver remarkable GenAI applications faster.

Pinecone is the vector database that helps power AI for the world's best companies

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Billions

of records in Pinecone

Notion is leading the AI productivity revolution. Our launch of a first-to-market AI feature was made possible by Pinecone serverless. Their technology enables our Q&A AI to deliver instant answers to millions of users, sourced from billions of documents. Best of all, our move to their latest architecture has cut our costs by 60%, advancing our mission to make software toolmaking ubiquitous.

Akshay Kothari

Akshay Kothari

Co-Founder and COO, Notion

Customers

Start and scale seamlessly

Create an account and your first index in 30 seconds, then upload a few vector embeddings from any model… or a few billion.

Quickstart Guide >
Docs
from pinecone import Pinecone, ServerlessSpec

# Create a serverless index
# "dimension" needs to match the dimensions of the vectors you upsert
pc = Pinecone(api_key="YOUR_API_KEY")

pc.create_index(name="products", dimension=1536, 
    spec=ServerlessSpec(cloud='aws', region='us-east-1') 
)

# Target the index
index = pc.Index("products")

# Mock vector and metadata objects (you would bring your own)
vector = [0.010, 2.34,...] # len(vector) = 1536
metadata = {"id": 3056, "description": "Networked neural adapter"}

# Upsert your vector(s)
index.upsert(
  vectors=[
    {"id": "some_id", "values": vector, "metadata": metadata}
  ]
) 

More relevant results make better applications

Filter by
metadata

Combine vector search with familiar metadata filters to get just the results you want.

Find
context

Fast and accurate vector search over all your data.

Update in
real time

As your data changes, the Pinecone index is updated in realtime to provide the freshest results.

Make (the right)
keywords matter

Combine vector search with keyword boosting for the best of both worlds (hybrid search).

30k+

organizations

96%

recall*

51ms

query latency (p95)*

benchmark graphic
*Performance with MSMarco V2 dataset of 138M embeddings (1536 dimensions)

Part of the developer-favorite AI stack

Use Pinecone with your favorite cloud provider, data sources, models, frameworks, and more.

Amazon Web Services
Microsoft Azure
GCP
Anyscale
OpenAI
Cohere
Pulumi
Hugging Face
Vercel
Langchain
Llama Index
Haystack
Databricks
Snowflake
Confluent
Airbyte
New Relic
Datadog
Explore integrations

Data source

Embedding model

Pinecone Vector Database

Search application

Join the movement

Join a growing community of 400,000+ ambitious developers building the next generation of applications with Pinecone.

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Events

Learn and connect with your peers, in person and online.

Attend an event >

Docs

Take advantage of our developer-friendly docs to get going in minutes.

Quickstart >

Forum

Share your questions, and answers in the support forum.

Ask the community >

Secure and Enterprise-ready

Meet security and operational requirements to bring AI products to market faster.

Secure

Control your data and know it’s safe. Pinecone is SOC 2 and HIPAA certified.

Reliable

Powering mission-critical applications of all sizes, with support SLAs and observability.

Cloud-native

Fully managed in the cloud of your choice. Also available via marketplaces: AWS, Azure, GCP.

Explore security

Start building knowledgeable AI now

Create your first index for free, then upgrade and pay as you go when you're ready to scale, or talk to sales.