TerraAmp KnowledgeAI Logo
SOC2-Aligned Architecture

Enterprise RAG Intelligence Layer.

Bridge the gap between raw data and actionable knowledge. Multi-tenant RAG-as-a-Service designed for high-compliance enterprise environments.

KnowledgeAI Chatbot Interface

Trusted by innovative teams

Acme Corp
GlobalHealth
TechFlow
LegalMind
2M+Documents
Indexed

What customers get

A governed AI layer over the knowledge your teams already use.

KnowledgeAI turns documents, policies, procedures, tickets, and reference material into a cited assistant that can be deployed for employees, customers, and operations teams.

Faster answers

Reduce manual search across PDFs, folders, portals, and internal notes.

Cited trust

Give users the answer and the source trail needed to verify it.

Lower support load

Deflect repeated questions with a reusable assistant trained on approved content.

Operational visibility

See what people ask, where content is missing, and which workflows need improvement.

Built for teams that can't afford a hallucinated answer.

Every layer of KnowledgeAI — retrieval, governance, deployment — is designed for the compliance bar of regulated enterprises.

Cited retrieval

Every answer links back to the exact source paragraph, page, or row — so trust is verifiable, not assumed.

Multi-tenant isolation

Logical and physical separation per workspace. Vector indexes, encryption keys and audit logs are tenant-scoped.

Connectors that respect ACLs

SharePoint, Google Drive, Confluence, S3, Notion — permissions are mirrored, never flattened.

Hybrid retrieval engine

Dense + sparse + re-ranking, tuned per workspace. Outperforms single-vector baselines on internal evals.

Governance & audit

Immutable query logs, PII redaction, role-based prompts. SOC2-aligned architecture and GDPR ready.

Bring your own model

OpenAI, Anthropic, Mistral, or self-hosted via vLLM. Swap models without rebuilding indexes.

Solution depth

More than a chatbot: ingestion, retrieval, governance, and rollout in one operating model.

Knowledge preparation

  • Document upload and connector-ready architecture
  • Chunking and metadata strategy
  • Workspace and tenant scoping

Retrieval quality

  • Vector search for semantic matches
  • Keyword search for exact terminology
  • Re-ranking for better answer context

Assistant experience

  • Website and workspace chatbot
  • Grounded responses with citations
  • Conversation history for review

Access control

  • Role-based admin paths
  • Tenant-aware data model
  • Source permission strategy for enterprise connectors

Provisioning workflows

  • Admin-triggered tenant setup
  • Flowise provisioning path
  • Optional automation through N8N/webhooks

Pilot analytics

  • Question patterns and usage review
  • Content gap identification
  • Production-readiness recommendations

Workflow diagram

How information becomes a trusted answer

The platform separates source content, retrieval, generation, and governance so the assistant can answer with confidence and show where the answer came from.

1

Ingest approved knowledge

Upload documents or connect approved repositories. Each file is normalized, chunked, tagged, and stored with tenant context.

2

Retrieve the right evidence

Hybrid search finds the most relevant snippets using semantic meaning, exact terms, metadata, and re-ranking.

3

Generate with citations

The assistant answers only from retrieved evidence and returns source references for verification.

4

Review and improve

Analytics show common questions, weak answers, and missing content so the knowledge base gets better over time.

SharePoint
Google Drive
PDFs / SOPs
secure ingestion
Chunk
Embed
Tag
hybrid retrieval

KnowledgeAI retrieval layer

tenant index + metadata + citations

Vector match
Keyword match
Re-rank
grounded response

Answer with source citations

delivered to web chat, teams, support, or internal portal

Response summary based on approved sources.
Sources: Policy.pdf page 4, SOP.docx section 2.1

Deployment blueprint

Start with a pilot, then scale to the right operating model.

KnowledgeAI supports a practical path from one assistant and one knowledge base to multi-department and enterprise-controlled deployments.

01

Pilot

Validate one use case, up to 500 documents, and a 30-day usage window.

02

Starter

Launch one assistant for a focused team or customer-facing workflow.

03

Business / Professional

Add departments, repositories, APIs, workflows, and analytics.

04

Enterprise

Move to dedicated environments, private vector stores, SSO, audit, and compliance controls.

Plans & Pricing

Flexible options tailored for pilots and full-scale production deployments.

Option 1: Pilot Engagement (Recommended)

AI Knowledge Assistant Pilot

$1,500USD FIXED FEE

Designed for fast procurement approvals.

Watch what the 30-day pilot delivers

Discovery, document ingestion, chatbot deployment, live pilot usage, and analytics review.

Discovery workshop
Knowledge ingestion
Up to 500 documents
Chatbot deployment
30-day pilot
Analytics review
Schedule Pilot Setup

Production Pricing

Starter

$299/month
Includes
  • 1 AI Assistant
  • 1 knowledge base
  • Up to 5 users
  • Up to 500 documents
  • Website chatbot
  • Source citations
Target

Small clinics, Accounting firms, Law offices, Consultants

Best Seller

Business

$799/month
Includes
  • Multiple departments
  • Up to 25 users
  • Workflow automation
  • API access
  • Teams integration
  • Analytics
Target

Financial services, EdTech, SaaS companies, Professional services firms

Professional

$1,499/month
Includes
  • Multi-department deployment
  • Advanced RAG
  • Multiple knowledge repositories
  • Custom workflows
  • Priority support
Target

Healthcare groups, MSPs, Cybersecurity firms, Manufacturing

Enterprise

$2,500+/month

Custom pricing.

Includes
  • Dedicated environment
  • Private vector database
  • SSO & Audit logs
  • Compliance controls
  • On-premises options
Target

Large enterprises & strict compliance environments

Questions, answered.

Still curious? Contact our team.

How does KnowledgeAI keep tenant data isolated?
KnowledgeAI uses strict multi-tenant isolation. Each workspace has logically and physically separated vector indexes, encryption keys, and audit logs. Your data is never co-mingled with other tenants.
Which LLM providers do you support?
We support a wide range of top-tier models including OpenAI (GPT-4o), Anthropic (Claude 3.5), Mistral, and you can also bring your own models (BYOM) via self-hosted endpoints like vLLM.
Do you mirror source permissions?
Yes. Our connectors for SharePoint, Google Drive, Confluence, and Notion ensure that Access Control Lists (ACLs) are mirrored. Users can only query documents they have explicit permission to access in the source system.
Is KnowledgeAI SOC2 compliant?
KnowledgeAI features a SOC2-aligned architecture and is fully aligned with GDPR requirements, with immutable audit logs and PII redaction. An official SOC2 Type II audit is currently in progress.
Can we deploy in our own VPC?
Absolutely. Our Enterprise plan supports deployment within your own Virtual Private Cloud (VPC) or on-premises environment for maximum security and compliance.
How accurate is the retrieval?
We use a hybrid retrieval engine combining dense vector search, sparse keyword search, and advanced re-ranking algorithms. Every response includes precise citations back to the exact source paragraph, eliminating hallucinations.