Ship knowledge systems faster, at lower cost
Nebius gives you purpose-built inference, managed services, and a validated partner ecosystem to build production knowledge systems — with the freedom to bring your own stack.
Why build knowledge management on Nebius
Best price-to-performance for inference
Serve knowledge workloads on open-source models through Token Factory with dedicated endpoints and autoscaling.
A developer platform, not just compute
Manage infrastructure, data, and models from a single console. Managed Kubernetes and PostgreSQL for your stack, Token Factory for inference, and built-in observability across all of it.
Enterprise-ready from day one
Deploy with built-in network isolation, identity management, audit logging, and certifications your customers already require.
Reserved GPU capacity with full visibility
Capacity Blocks + real-time Dashboard. Your knowledge system never stalls waiting for GPUs.
Open stack, no lock-in
Build with any vector DB, orchestration framework, or model. Architecture decisions stay reversible.
Everything you need to run knowledge management at scale
Nebius provides the inference, tools, and infrastructure for production knowledge systems. Every component is open and replaceable — bring your own models, frameworks, and data sources alongside.
Native capabilities for knowledge management
What Token Factory and Tavily cover across the knowledge pipeline — from embedding and retrieval to synthesis and grounding.
Embed documents and queries
Generate vector embeddings with BAAI/bge-en-icl and Qwen3 Embedding via /v1/embeddings.
Rerank search results
Improve retrieval precision with Qwen3-Reranker via /v1/rerank.
Synthesize grounded answers
Generate answers from retrieved context with GPT-OSS, Qwen3, Llama, DeepSeek via /v1/chat/completions.
Call tools and extract structured data
Function calling and JSON mode for reliable tool use and schema extraction.
Search the live web
Tavily gives your knowledge system access to live web information through a single search API.
Store and manage knowledge
Managed PostgreSQL for structured data and pgvector. Object Storage for documents and embeddings.
Build production-ready knowledge agents
See how a compliance audit agent moved from prototype to production by improving retrieval, live grounding, inference economics, observability, and simulation.
