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Long-Term Memory for AI

Transform your business with high-performance AI applications. Pinecone's vector database is fully-managed, developer-friendly, and easily scalable.

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Start, scale, and sit back

Create an account and your first index with a few clicks or API calls. Use the latest AI models and reference our extensive developer docs to start building AI powered applications in minutes.

# create an index with a single pod
pinecone.create_index(index_name="chatbot", dimension=8)
# create an instance of your index
index = pinecone.Index(index_name="chatbot")

# upsert your vector embeddings
    ("A", [0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1]),
    ("B", [0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2]),
    ("C", [0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3]),
    ("D", [0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4]),
    ("E", [0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5])

Harness the power of Pinecone with a simple API call to create your index.

Building with Pinecone

Unlock powerful vector search with Pinecone — intuitive to use, designed for speed, and effortlessly scalable.


Launch, use, and scale your AI solution without needing to maintain infrastructure, monitor services, or troubleshoot algorithms. Choose your provider and region, and we'll handle the rest.

Fast, relevant results

Speed through data in milliseconds. Leverage metadata filters and sparse-dense index support for top-notch relevance, ensuring quick and accurate results across diverse search tasks.

Predictable costs

Start for free on the starter plan and seamlessly scale usage with transparent resource-based pricing. Easily view and monitor usage within the console.

Built to scale with any stack

Store and search through embeddings of your data in Pinecone to power your AI applications.

Learn more
Pinecone stack

Explore our latest updates

Browse through recent articles, event information, and company updates for a quick snapshot of what's new.

  • title

    Options for Solving Hallucinations in Generative AI

    In this article, we’ll explain what AI hallucination is, the main solutions for this problem, and why RAG is the preferred approach in terms of scalability, cost-efficacy, and performance.

    Read the Article
  • title

    Data Sync and Search: Pinecone and Airbyte

    Syncing data from a variety of sources to Pinecone is made easy with Airbyte. Learn how through Pinecone series.

    View Series
  • title

    Monitor Pinecone with Datadog

    Pinecone users can now easily view and monitor usage and performance for AI applications in a single place with Datadog’s new integration for Pinecone.

    Read the Blog Post