Secure. With encryption at rest and in transit, hierarchical encryption keys, private networking, and more, your data is secure. Contact us to deploy a privately managed Pinecone region within your cloud.

Reliable. With a 99.95% uptime SLA, Pinecone is trusted by leading startups and enterprises for their production AI applications.

Pinecone is the leading vector database for building accurate and performant AI applications at scale in production.

Pricing Start free, scale effortlessly. Pinecone runs on fully managed infrastructure that scales with you. Start building today with product and support plans tailored to your needs.

2. Get an API key. You need an API key to make calls to your Pinecone project. Create a new API key in the Pinecone console, or use the widget below to generate a key.If you don’t have a Pinecone account, the widget will sign you up for the free Starter plan.

Indexing: The vector database indexes vectors using an algorithm such as PQ, LSH, or HNSW (more on these below).This step maps the vectors to a data structure that will enable faster searching. Querying: The vector database compares the indexed query vector to the indexed vectors in the dataset to find the nearest neighbors (applying a similarity metric used by that …

RAG with Pinecone. RAG is a framework for combining LLMs with an external vector database to generate more accurate and up-to-date responses. The Pinecone vector database lets you build RAG applications using vector search.

2021年10月4日 · Pinecone 2.0 is generally available as of today, with many new features and new pricing which is up to 10x cheaper for most customers and, for some, completely free!. On September 19, 2021, we announced Pinecone 2.0, which introduced many new features that get vector similarity search applications to production faster.

Data ingestion. When loading large numbers of records into an index, consider the following methods: Importing from object storage is the most efficient and cost-effective way to ingest large numbers of records. Store your data as Parquet files in object storage, integrate your object storage with Pinecone, and then start an asynchronous, long-running operation that imports …

Pinecone Assistant has become essential to our generative AI projects, accelerating the time between idea and implementation by 70%. It simplifies complex tasks like document chunking, embedding, and retrieval, letting us focus on outcomes, cut maintenance and scaling costs by 30%, and quickly demonstrate real results to clients.