Let your users search like they mean it.
Pinecone is a fully-managed vector database that indexes, stores, and retrieves semantic representations of documents. When combined with Natural Language Processing (NLP), the vector database makes it easy to add semantic search to production applications.Get Started
Focus on your application, not your search infrastructure.
Pinecone obsesses over operations and security so that you can focus on your application. Just sign up for an account, and Pinecone manages the infrastructure with high availability, geo-replication, and 24/7 operational support.
Deploy faster - test in a few minutes and get into production in days.
Most users can test a subset of their vectors in just minutes and can introduce full-scale semantic search to their production applications in a matter of days.
Performance at Scale
Fast semantic search, at any scale, at a low cost.
The ability to power semantic search across billions of documents in milliseconds, combined with usage-based pricing, is perfect for high-volume production applications. Optional hybrid storage can be up to 10x more cost-effective compared to in-memory databases.
Combine vector similarity searches with metadata filtering for greater accuracy, control, and relevance of results — without any loss of performance.
Combine semantic search with basic keyword filtering. Filter by exact keyword match and use Boolean logic including AND, OR, and NOT. See example notebook.
Add or remove pods on the fly to adjust search latencies, storage capacity, availability, and cost.
Initiate the functionality of the database from any environment that can make HTTPS calls. Add semantic search to your application with just a few lines of code.