🚀 Free Pilot Program
We work hands-on with your team to build your first workflows—completely free. 4-week pilot • Your data stays in your VPC
Use ContextOS to coordinate hybrid retrieval, connect reranking models, and build multi-hop reasoning workflows—without migrating your existing search infrastructure.
Orchestrate BM25 + vector + graph search
Build agent workflows for query understanding
Plug in your ML models seamlessly
Full citations and lineage tracking
Quick overview. Learn more on the platform page →
Connect search & data infrastructure
Define ontology and retrieval policies
Build multi-agent search workflows
Monitor and optimize in production
Build, connect, and orchestrate your search infrastructure
Coordinate BM25, vector, and graph search across your existing stores—no migration. Configure fusion weights and routing per query type.
Define entities and relationships once. Agents automatically traverse the graph, expand queries, and assemble relevant context for every search.
Build workflows that rewrite queries, extract entities, expand synonyms, and route to specialized search agents based on intent.
Plug in your reranking models and set precision/recall thresholds per route. ContextOS handles model serving and feedback loops.
Parallel retrieval, smart caching, and context compression built in. Hit sub-2s targets while reducing token costs.
Every search result includes source attribution, confidence scores, and full retrieval path—auditable and replayable.
Connect internal docs, databases, and APIs—agents route queries and assemble context across silos.
Semantic search + collaborative filtering + inventory rules—orchestrated by agents that understand user intent.
Multi-hop reasoning over knowledge graphs—agents traverse relationships to answer complex questions.
Start your free pilot and work with our team to orchestrate multi-agent search on your data
Start Free Pilot