What does multi-tenant RAG mean?
Multi-tenant RAG gives each customer or department an isolated knowledge namespace while operating one shared product deployment.
Formulate RAG
Private multi-tenant RAG. Two API calls.
Add document intelligence to your product or your organization in 72 hours. Every tenant — every customer, every department — gets a fully isolated knowledge base. Hosted on our infrastructure or deployed inside your own cloud.
<300ms
P99 retrieval latency
2
API calls to integrate
72h
from agreement to live
∞
tenants, one deployment
The build-vs-buy reality
Building RAG in-house costs more than it looks.
Every team underestimates it. The chunking is easy. Multi-tenancy, re-ranking, latency at scale, embedding drift, security audits — that's where the 6 months go.
Engineering cost
$150–200K
2 engineers × 6 months to build + maintain
Time to market
6 months
before your first customer can search a document
Ongoing cost
$50K+/yr
maintenance, upgrades, security patches
Formulate RAG: flat monthly license. Live in 72 hours. No engineering headcount. No maintenance burden. Scale from 10 tenants to 10,000 without changing a line of code.
How it works
Document in. Answer out. Every tenant isolated.
📄
Documents
PDF · DOCX · TXT · CSV
▶
⬆
/ingest
POST with tenant ID
▶
🗄
Nyas
pgvector · S3
▶
🔍
/search
<300ms P99
▶
✅
Results
chunks + scores + source
Each tenant gets a fully isolated namespace
Tenant AAcme Corp
📄policy.pdf
📄handbook.docx
ISOLATED NAMESPACE
Tenant BBeta Inc
📄contracts.pdf
📄sops.txt
ISOLATED NAMESPACE
Tenant CGamma Ltd
📄specs.pdf
📄wiki.html
ISOLATED NAMESPACE
🔒Tenant A's searches never touch Tenant B's data — isolated at the pgvector layer, not via filters.
Who it's for
Two customer types. Two deployment models.
B2B2CSaaS Platforms
You have customers. They need their own knowledge base.
The problem
Your customers want document search, Q&A on their own data, or a private knowledge base — inside your product. Building multi-tenant RAG takes 2 engineers × 6 months.
What you get
RAG becomes a silent feature inside your product. Each customer gets a fully isolated knowledge base. You deploy in your own cloud, data never leaves your VPC. Your customers never know it's Formulate.
Used by
Messaging platformsCRM toolsSupport softwareChatbot productsDocument management
BYOC — $5,500/mo · Unlimited tenants
B2BEnterprises
You have departments. Each one needs its own RAG.
The problem
One org, many teams — HR, Legal, Finance, Clinical. Each needs to search their own documents without seeing each other's data. No DevOps team to maintain infrastructure.
What you get
Call our hosted API. Each department gets a fully isolated namespace. No infra work, no DevOps. Pass the tenant ID in the header — isolation is handled at the database layer.
Used by
Hospitals & pharmaBanks & NBFCsInsurance firmsUniversitiesLarge conglomerates
Hosted API — from $800/mo
Compliance & Security
Built for regulated industries from day one.
Every enterprise RAG deployment runs a compliance gauntlet — DPDP, HIPAA, RBI, SEBI, SOC2. Formulate RAG was designed with these requirements baked in, not bolted on.
India DPDP Act
Data Principal and Fiduciary obligations met. Data stays within India on BYOC deployments.
HIPAA Ready
Healthcare-grade data handling. BAA available. Air-gapped deployment for regulated clinical data.
RBI / SEBI Guidelines
Financial data never co-mingled across tenants. Native isolation satisfies regulatory audit requirements.
SOC 2 Type II
Evidence collection automated. Audit-ready posture. Security controls documented and tested.
Data Sovereignty
BYOC: retrieval never leaves your cloud. Generation via Bedrock or Azure OpenAI stays in your account.
Tenant Isolation
Native isolation at the pgvector layer — not a filter, not access control. Architecturally impossible for tenants to cross-query.
True data sovereignty in BYOC mode: Retrieval never leaves your cloud. For generation, use AWS Bedrock or Azure OpenAI — both keep LLM calls within your cloud account. Bringing your own OpenAI key routes generation through OpenAI's servers — not ours.
Integration
Two API calls. That's the whole integration.
POST to /ingest to upload documents. POST to /search to retrieve. Pass your tenant ID in the header. Done.
Step 1 — Ingest documents
POST /ingest
X-Tenant-ID: acme-corp
Content-Type: multipart/form-data
file: product_docs_v3.pdf
→ 200 OK
{
"job_id": "ing_01jwx4k",
"status": "processing",
"webhook": "notified on completion"
}Step 2 — Search at query time
POST /search
X-Tenant-ID: acme-corp
Content-Type: application/json
{
"query": "What is the return policy for enterprise plans?",
"top_k": 5
}
→ 200 OK (<300ms)
{
"results": [
{
"content": "Enterprise plans include a 30-day...",
"score": 0.94,
"source": "product_docs_v3.pdf"
}
]
}PDF · DOCX · TXT · CSV · HTMLAsync ingestion + webhooksSemantic search (pgvector)Hybrid BM25 + vectorTop-k with scores + sourcesLLM-agnostic (returns chunks)
Deployment
Your cloud or ours. Your choice.
Hosted API
We host. You call.
Formulate AI runs the full RAG stack on our infrastructure. You make two API calls — /ingest and /search. We handle availability, scaling, and ops.
- No infra work on your side
- SLA-backed 99.5% uptime
- Live in 72 hours
- Monthly flat pricing
Best for enterprises getting started fast
Your Cloud (BYOC)
Your cloud. Our software.
Deploy Formulate RAG inside your own AWS, Azure, or GCP account. You own the data, the infra, and the compute. We provide the software and the deployment package.
- Data never leaves your VPC
- Bedrock / Azure OpenAI for generation
- CloudFormation + Helm chart included
- Software license — you pay cloud bill
Best for platforms with data sovereignty requirements
Why Formulate RAG
Cloud RAG wasn't built for multi-tenancy.
| Feature | Formulate RAG | AWS Bedrock | Google Vertex |
|---|---|---|---|
| Multi-tenant out of the box | ✕ | ✕ | |
| Tenant isolation (native) | ✕ | ✕ | |
| Deploy in your cloud (BYOC) | ✕ | ✕ | |
| LLM agnostic (any provider) | ✕ | ✕ | |
| Flat pricing (not per KB) | ✕ | ✕ | |
| Live in 72 hours | ✕ | ✕ | |
| No infra work required |
Pricing
Flat pricing. No per-query surprises.
One-time setup fee $2,500 covers integration support, developer onboarding, and 30-day hypercare. Annual billing saves 15%.
Starter
$800/ month
Up to 100 tenants
$8 / tenant
- REST API (ingest + search)
- Tenant-isolated namespaces
- PDF, DOCX, TXT, CSV, HTML
- Async ingestion + webhooks
- Email support
Growth
$2,500/ month
Up to 500 tenants
$5 / tenant
- Everything in Starter
- Per-tenant usage dashboard
- Query logs + analytics
- Slack support channel
- Response < 4 hours
Scale
$4,000/ month
Up to 1,000 tenants
$4 / tenant
- Everything in Growth
- Dedicated onboarding engineer
- 30-day hypercare
- 99.5% uptime SLA
- Annual: $40,800 (15% off)
BYOC
$5,500/ month
Unlimited tenants
You pay your cloud bill
- Deploy in your AWS/Azure/GCP
- Bedrock / Azure OpenAI ready
- CloudFormation / Helm chart
- Full data sovereignty
- One-time setup: $3,000
Pilot offer: 3 months at $2,000/mo.
Up to 100 tenants. No commitment for full rollout. Prove it works in your product or org, then expand.
contact@formulateai.in · Built in Bangalore · Data stays yours
Frequently asked questions
Clear answers before you start.
Can Formulate RAG run inside my cloud?
Yes. The BYOC deployment runs retrieval inside your AWS, Azure, or GCP environment so your source data remains in your cloud account.
Which document formats can I ingest?
The current ingestion pipeline supports PDF, DOCX, TXT, CSV, and HTML documents.
How does my application call the RAG service?
Applications use an ingest endpoint to add documents and a search endpoint to retrieve relevant context, passing the tenant identifier with each request.
Can I use Formulate RAG for an embedded product feature?
Yes. It is designed for SaaS products and enterprise applications that need private search or question answering for many isolated customers or departments.