Air-gapped as a Service

Access the platform for data ingest, query generation, and agent building through a set of dynamic APIs.

No need to manage vector databases, perform parsing or chunking, or maintain LLM versioning.

Vectara leverages an event-driven architecture to ingest streaming data in real time. As new content arrives or existing content changes, events trigger immediate processing and indexing, so user corpora stay continuously up to date.

This architecture allows indexing pipelines to scale independently and respond instantly without batch delays. The result is near-real-time search and retrieval, with users seeing fresh documents and updates almost as soon as they’re produced.

Container-based deployment on your cluster, including support for enterprise distributions, managed services like EKS, GKE, and AKS.

Deployed as infrastructure as code with version-controlled configurations. Fully integrated into your Git, your process in staging, and when promoted to production.

Vectara operates as the AI application and trust layer, while VMware Cloud Foundation provides the resilient, GPU-optimized private cloud foundation.

Vectara deployments on VCF scale horizontally, allowing organizations to align capacity with business demand.

OpenTelemetry provides a high-level health view of the platform while allowing drill-down into trace-level details.

This view can be easily accessed by API operation and provides enhanced control of the Vectara environment.