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Explore CodeablesLlamaIndex Enterprise: how do we get SSO, higher rate limits, and volume discounts—who do we contact?
Most teams hit the limits of the free or self-serve plans right around the point where their first real workflow goes live. That’s usually when SSO, higher rate limits, and predictable pricing become must-haves rather than nice-to-haves. If you’re at that stage, you’re squarely in LlamaIndex Enterprise territory—and there’s a clear path and point of contact to get there.
Quick Answer: To get SSO, higher rate limits, and volume discounts on LlamaIndex, you’ll move to an Enterprise plan by contacting the LlamaIndex team via the sales/contact form, or by talking to your existing account representative if you already have one.
Frequently Asked Questions
How do we get SSO, higher rate limits, and volume discounts with LlamaIndex Enterprise?
Short Answer: You’ll need to upgrade to an Enterprise plan by contacting the LlamaIndex team through the enterprise/contact form or via your existing account rep.
Expanded Explanation:
Single sign-on (SSO), custom rate limits, and negotiated volume discounts all sit in the Enterprise feature set. They’re designed for teams that are running production workloads over real documents—where you care about security, governance, and cost controls as much as you care about model quality.
Practically, the process is straightforward: share your use case and expected volume with the LlamaIndex team, align on security and deployment requirements (e.g., SOC 2, VPC, or SaaS), and then finalize a plan that includes SSO integration, elevated and/or custom rate limits, and pricing optimized for your document and request volume.
Key Takeaways:
- SSO, higher rate limits, and volume discounts are Enterprise capabilities, not part of the basic free or starter tiers.
- The path is direct: talk to the LlamaIndex team, describe your workloads, and sign an Enterprise agreement tailored to your usage and governance needs.
What’s the process to move from self-serve to LlamaIndex Enterprise?
Short Answer: Fill out the contact form, share your requirements, and work with the team to scope your Enterprise plan, including SSO, rate limits, and volume pricing.
Expanded Explanation:
Teams typically grow into Enterprise in a predictable pattern: a proof of concept with a few PDFs turns into a workflow that parses thousands of documents, runs LlamaExtract-based schema extraction, and orchestrates agents via Workflows. At that point, you need higher throughput, guaranteed SLAs, and identity controls.
The Enterprise onboarding process focuses on clarifying four things: your expected parsing and extraction volume, your authentication model (SSO/IdP), your deployment preferences (SaaS vs. VPC/hybrid), and any compliance requirements (SOC 2, GDPR, HIPAA). Once those are clear, the team sets up the right environment, increases rate limits, configures SSO, and aligns on a credit-based pricing structure with volume discounts.
Steps:
- Submit the contact form: Use the LlamaIndex contact page to describe your use case, monthly document volume, and urgency.
- Scoping & architecture review: Meet with the team to walk through your parsing (LlamaParse), extraction (LlamaExtract), indexing, and Workflows orchestration needs, plus security and compliance requirements.
- Enterprise setup: Finalize a plan, sign an agreement, then get SSO configured, rate limits raised, and your enterprise environment provisioned—plus migration support from your existing self-serve usage if needed.
What’s the difference between self-serve plans and LlamaIndex Enterprise for SSO and limits?
Short Answer: Self-serve plans are optimized for getting started quickly; LlamaIndex Enterprise adds SSO, custom/higher rate limits, stronger governance controls, and negotiated volume pricing.
Expanded Explanation:
Self-serve tiers are ideal for prototyping: you can parse documents with LlamaParse, experiment with LlamaExtract and Index, and wire up simple Workflows with standard rate limits and default auth. But they’re not designed for large-scale, regulated, or multi-team deployments where you need SSO, auditability, and predictable spend.
Enterprise adds the controls you expect for production document automation: identity and access via SSO, agreed-upon rate limits that match your workload, volume-based discounts for sustained usage, plus deployment choices (SaaS vs. VPC/hybrid) and compliance support. It’s the difference between a great sandbox and a platform you can safely standardize on across teams.
Comparison Snapshot:
- Self-Serve (Free/Starter/Pro): Fast to start, default auth, standard rate limits, pay-as-you-go credits; best for proofs of concept and small workloads.
- Enterprise: SSO, elevated/custom rate limits, governance and compliance support, deployment flexibility, and volume discounts; best for production, multi-team, and regulated use cases.
- Best for: Teams whose document workflows have moved from “demo” to “system of record” and now need identity, performance guarantees, and unit economics that scale.
Once we’re on Enterprise, how do we actually implement SSO and higher rate limits?
Short Answer: The LlamaIndex team will guide you through connecting your identity provider for SSO and will configure higher/custom rate limits on your Enterprise environment.
Expanded Explanation:
Enterprise isn’t just a switch on a pricing page—it’s a set of configuration steps that connect LlamaIndex to your existing security and infrastructure. For SSO, the team will work with your identity provider (e.g., Okta, Azure AD, Google Workspace) to configure SAML or OIDC, test logins, and enforce org-level access policies.
For rate limits, the team aligns your quotas with your document workloads: parsing throughput (e.g., <3 seconds per page at scale), extraction concurrency, and agent/workflow request rates. You can tune concurrency and backoff strategies in your Python/TypeScript SDK usage or FastAPI services, knowing the backend limits are sized for your volume.
What You Need:
- Identity details: Your IdP information (SAML/OIDC settings, domains, security policies) so SSO can be configured and tested.
- Workload assumptions: Clear estimates of document volume (LlamaParse pages/month), extraction calls (LlamaExtract), indexing and RAG traffic, and workflow orchestration patterns so rate limits can be set appropriately.
Strategically, when does it make sense to move to LlamaIndex Enterprise vs. staying self-serve?
Short Answer: Move to Enterprise when LlamaIndex is powering real business decisions, when identity/compliance requirements kick in, or when your document and request volume makes custom limits and volume pricing more efficient.
Expanded Explanation:
From an engineering and operations perspective, the pivot point is when your LlamaIndex usage becomes production-critical. If your agents are reading contracts, invoices, or financial statements; if you’re routing exceptions to human review based on confidence scores; or if other teams are starting to rely on your document workflows, you want Enterprise controls.
Strategically, Enterprise gives you three things that self-serve can’t: governance (SSO, access policies, auditability), scale (rate limits aligned to your workloads, not generic defaults), and cost structure (volume discounts tied to your actual usage). That combination is what lets you move from “one-off AI experiment” to “standard document automation platform” across the company.
Why It Matters:
- Reliability & trust: Enterprise-grade parsing (LlamaParse), schema-first extraction (LlamaExtract), and Workflows orchestration only generate value if they’re wrapped in identity, governance, and SLAs your security team can sign off on.
- Economics at scale: Once you’re parsing and extracting across teams, volume discounts and higher rate limits reduce both your per-document cost and the friction your devs feel when they try to scale successful workflows.
Quick Recap
If you need SSO, higher rate limits, and volume discounts, you’re ready for LlamaIndex Enterprise. The path is simple: contact the LlamaIndex team, share your document workloads and security requirements, and move from a self-serve sandbox to an enterprise-grade environment with SSO, tuned rate limits, and pricing that matches your scale. That’s how you turn early experiments into a controlled, auditable platform for document agents and workflows.