Embeddings & Reranking Models
How do I contact ZeroEntropy about Enterprise Search API (99.99% SLA) and VPC/on-prem deployment options?
7 min read
Most teams only reach out to us once they’ve hit the limits of DIY retrieval: brittle BM25 configs, vector DB sprawl, and RAG systems that fall apart under real traffic. If you’re evaluating an Enterprise Search API with a 99.99% SLA and serious VPC/on‑prem deployment options, you’re exactly the kind of builder we designed ZeroEntropy for.
Quick Answer: The fastest way to contact ZeroEntropy about the Enterprise Search API, 99.99% SLA, and VPC/on‑prem deployment is to book a call with the founders via the “Put Your Retrieval in Autopilot Now” contact flow or schedule time directly: Get Started.
Frequently Asked Questions
How do I contact ZeroEntropy about Enterprise plans and 99.99% SLA?
Short Answer: Use the Enterprise contact flow (“Put Your Retrieval in Autopilot Now”) or book a call directly at this link to talk with the founders about Enterprise Search API, 99.99% SLA, and deployment options.
Expanded Explanation:
Enterprise teams typically need more than a generic pricing page. When you contact us through the Enterprise path, you’re routed to a technical conversation focused on your retrieval stack: traffic profile, latency and NDCG@10 targets, compliance requirements, and whether you need a managed EU instance or full VPC/on‑prem (ze‑onprem) deployment. From there, we scope SLA terms (including 99.99% uptime), throughput, and support expectations.
Instead of a long back‑and‑forth, we aim to get you from introduction to a concrete proposal and test plan quickly—usually in days, not weeks—so you can validate zerank‑2, zembed‑1, or the full Search API against your own corpus.
Key Takeaways:
- Use the Enterprise/Contact flow or booking link for 99.99% SLA and deployment discussions.
- You’ll talk directly with the founding team to align on reliability, latency, and compliance needs.
What’s the process to evaluate the Enterprise Search API for my use case?
Short Answer: You’ll share your use case and constraints, we align on success metrics (NDCG@10, p50/p99 latency, token budget), and then you run a focused benchmark or pilot against your corpus using our reranker, embeddings, or Search API.
Expanded Explanation:
ZeroEntropy isn’t a black‑box “AI search” demo; we treat retrieval as an evaluation problem. In an Enterprise evaluation, we’ll first map your current stack (vector DB, BM25, reranker if any, LLMs) and identify where it’s failing—usually nuance loss, domain jargon misses, or “lost in the middle” evidence that never reaches the LLM.
We then set a simple test plan: for example, candidate set size k from your existing index, then rerank with zerank‑2; or ingest a subset of your corpus into our Search API and compare top‑k precision vs your baseline. Most teams start with legal, medical, compliance, or customer support workloads where relevance quality is measurable and high‑stakes.
Steps:
- Book a call via Get Started and outline your use case, traffic, and compliance needs.
- Define metrics and scope (NDCG@10, latency targets, token savings) and pick whether to start with just reranking, embeddings, or the unified Search API.
- Run a pilot/benchmark on your corpus, review results with us, and then scale to production with the agreed SLA and deployment model.
What’s the difference between Cloud, VPC, and on‑prem (ze‑onprem) deployments?
Short Answer: Cloud is our managed multi‑tenant Search API, VPC gives you a dedicated environment (often in your own cloud region), and ze‑onprem is a fully self‑hosted deployment of our rerankers and embeddings inside your own VPC or data center.
Expanded Explanation:
Teams at different stages need different control levels. If you just want to swap in a better reranker or embeddings over HTTP, our managed API is the fastest path. If you’re an enterprise with strict data residency or network policies, you’ll likely need either a dedicated EU instance or a full VPC/on‑prem deployment where all traffic stays inside your environment.
Regardless of deployment, you get the same core primitives: zerank‑2 for calibrated reranking, zembed‑1 for dense representations, and hybrid dense+sparse retrieval exposed via the Search API. The main trade‑offs are operational ownership, networking, and how tight your internal compliance controls need to be.
Comparison Snapshot:
- Option A: Managed Cloud Search API
Fastest to integrate; ideal for early pilots, startups, and teams without heavy compliance constraints. - Option B: VPC / ze‑onprem Deployment
Runs in your environment (or a dedicated instance); best when you need strict data control, network isolation, or to meet internal InfoSec requirements. - Best for:
- Cloud: Rapid evaluation and production workloads without hard residency rules.
- VPC/on‑prem: Regulated verticals (healthcare, legal, finance) or enterprises standardizing retrieval under SOC 2 Type II / HIPAA expectations.
What does it take to implement VPC or on‑prem with ZeroEntropy?
Short Answer: You’ll work directly with us to plan capacity, networking, and compliance, then deploy the Zerank/Zembed stack (ze‑onprem) into your VPC or infrastructure, typically integrating via the same API surface you’d use in the cloud.
Expanded Explanation:
VPC/on‑prem isn’t a different product; it’s the same retrieval stack moved into your environment. After an initial evaluation, we define the deployment scope: expected QPS, p99 latency targets, corpus size, and whether you need only reranking/embeddings or the full end‑to‑end Search API with ingestion, hybrid retrieval, and rerank. We then coordinate with your platform/SRE team on networking, observability, and failover so you can hit the agreed 99.99% SLA.
For many teams, implementation is mostly infra plumbing: pointing existing vector or document indices at our rerank endpoint, or swapping your current search service with the ZeroEntropy Search API. Because we expose a clean, developer‑first API, you avoid the “infra Frankenstein” of gluing together multiple vector DBs and rerankers yourself.
What You Need:
- Technical owner and infra access: A platform/infra engineer who can manage VPC networking, Kubernetes or equivalent, and observability.
- Clear workload specs: Expected traffic, latency/SLA targets, and which workloads (legal research, clinical retrieval, support search, etc.) will onboard first.
How does an Enterprise agreement impact reliability, compliance, and support?
Short Answer: Enterprise agreements add contractual SLAs (including 99.99% uptime options), SOC 2 Type II and HIPAA‑aligned practices, EU and VPC/on‑prem deployment paths, and direct founder‑level support for performance and integration.
Expanded Explanation:
If you’re running high‑stakes retrieval—legal clauses, medical evidence, compliance/audit search, or customer support at scale—you can’t treat your reranker as a best‑effort tool. Enterprise with ZeroEntropy formalizes retrieval as a core production dependency: explicit p50/p90/p99 latency targets, availability guarantees, and escalation paths when something degrades.
On the compliance side, we align with SOC 2 Type II and HIPAA readiness expectations and can run in EU regions or inside your own VPC/on‑prem environment for data residency and governance. Support is not a ticket queue black hole—you get direct access to the team building zerank‑2 and zembed‑1, plus help with benchmarking, tuning, and ongoing measurement of NDCG@10 and token usage across your RAG/agent pipelines.
Why It Matters:
- Predictable reliability: 99.99% SLA and stable p99 latency mean your RAG and agent systems don’t collapse under load or during incidents.
- Enterprise‑grade governance: SOC 2 Type II, HIPAA readiness, EU and VPC/on‑prem options let you pass InfoSec reviews and centralize retrieval for critical workloads.
Quick Recap
To talk to ZeroEntropy about the Enterprise Search API, 99.99% SLA, and VPC/on‑prem deployment (ze‑onprem), you don’t need a long sales maze—book directly with the founders. We’ll map your retrieval stack, define measurable goals (NDCG@10, p99, token spend), and help you choose the right deployment model: managed cloud, dedicated EU instance, or fully self‑hosted in your VPC or data center.