Pinecone provides a vector database that enables companies to efficiently index and retrieve data for generative AI applications. This technology facilitates accurate and secure searches across large datasets, enhancing the development of AI-driven solutions.
Funding
$138M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Building AI applications that require accurate and secure searches across large datasets is challenging due to the limitations of traditional databases in handling vector embeddings efficiently. Indexing and retrieving high-dimensional vector data for generative AI applications can be slow and resource-intensive.
Solution
Pinecone provides a vector database designed to efficiently index and retrieve data for generative AI applications. It enables companies to perform accurate and secure searches across large datasets by leveraging its core vector database technology. Pinecone allows developers to embed, upsert, and index data with a single API, facilitating the development of AI-driven solutions. The platform supports embeddings from any model or provider and offers a fully managed Inference API for embedding and reranking.
Target Audience
The primary users are AI developers and companies building generative AI applications that require efficient vector search capabilities.
Features
- Vector database for efficient indexing and retrieval of high-dimensional data
- Support for any embedding model or provider
- Inference API for fully managed embedding and reranking
- Assistant API to streamline RAG development
- Integrations with cloud providers, data sources, models, and frameworks
- Secure data encryption at rest and in transit
- Access control with SSO, RBAC, and CMEK
- SOC2 Type II certified, HIPAA compliant, and GDPR-ready