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One workload, one capacity plan

Retrieval growth should not force a capacity decision for every workload on the cluster. Give retrieval a managed path o…

Your knowledge stays in your cloud, not in someone's model

Fine-tuning and long context both push your proprietary knowledge into someone else's model. Nexus keeps it in your own …

Same models, different knowledge. Read the benchmark.

We pointed Nexus at our own customer support queue. The agent handling inbound tickets went from resolving 25% on its ow…

Same models, different knowledge. See the benchmark.

Nexus is generally available. On Sierra's tau-Knowledge benchmark, GPT-5.2 with Nexus gained 12% more accuracy at 80% lo…

Same models, different knowledge. Read the benchmark.

We pointed Nexus at our own customer support queue. The agent handling inbound tickets went from resolving 25% on its ow…

Make updates queryable in seconds

Every refresh window makes you choose between stale results and query throughput. Most teams made that trade without dec…

See where your agent's accuracy ceiling comes from

Agentic RAG tends to plateau in the 50-60% range on multi-step work. If that matches what you are seeing, an engineer wi…

Move memory pressure out of retrieval

Elastic's DiskBBQ post is blunt about HNSW under memory pressure. Pinecone decouples the working set from the full corpu…

Compiled once, queried by every agent you run

Your competitors can license the same models you do. What they cannot license is how your business actually works. Nexus…

One workload, one capacity plan

Retrieval growth should not force a capacity decision for every workload on the cluster. Give retrieval a managed path o…

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