Managed Faiss

Pinecone provides a fully managed, cloud-native service for vector similarity search in production. Run Faiss inside Pinecone for scalability, reliability, easy-to-use APIs, and more features compared to self-hosted Faiss.

Focus on model and application development, not algorithm tuning or infrastructure engineering.

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Contact us for questions, demos, or VPC deployments.

Managed Faiss Vector Similarity Search

Why Managed Faiss?

Production-ready

Go to production with a few lines of code, without breaking a sweat or slowing down

  • Create and manage centralized vector indexes with a management console or API calls.

  • Easy-to-use SDKs for Python, Java, and Go for analytics, development, and low-latency production applications.

Sample code for deploying Pinecone.

Scalable & Distributed

Scale to billions of vectors with all the bells and whistles.

  • Automatic scaling with data shards and replicas, eventual consistency, and data persistence.

  • Live index updates, namespacing, string IDs, batch queries, vector fetch operation, and more.

Sample code for deploying Pinecone.

Managed Infrastructure

We obsess over operations and security so you don't have to.

  • Just create an account and we'll manage the infrastructure with high availability, geo-replication, and 24/7 support.

  • Pinecone runs on secure AWS or GCP environments. Your data is stored in isolated containers and encrypted in transit.

Sample code for deploying Pinecone.

Why Managed Faiss?

Self-Hosted Faiss

Pinecone Managed Faiss

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What will you build?

Upgrade your search or recommendation systems with just a few lines of code, or contact us for help.