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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 index.upsert([ ("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.
Start for free on the starter plan and seamlessly scale usage with transparent resource-based pricing. Easily view and monitor usage within the console.
Transform your business with AI
Store and search through your vector embeddings in Pinecone. Power applications that rely on relevant information retrieval.
Build search apps that “get it” by storing and searching through the meaning of your data. Support for data from any AI model.
Build chatbots that answer right by providing the most relevant context from your company data to a Generative-AI model.
Built to scale with any stack
Store and search through embeddings of your data in Pinecone to power your AI applications.Learn more
Explore our latest updates
Browse through recent articles, event information, and company updates for a quick snapshot of what's new.
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
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
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
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Start building in minutes
Create an account and your first index with a few clicks or API calls. Our simple REST API and growing number of SDKs makes building with Pinecone a breeze.