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Industry Solutions on the Private Knowledge Assistant with LLM and RAG


Built on our Private Knowledge Assistant with RAG, these solutions keep your data private, ground every answer in your own documents, and meet Canadian residency requirements. They inherit the platform’s core capabilities—secure ingestion (PDFs/docs/tickets/pages), vector search with citations, access control by team/department, and model flexibility (OpenAI, LLaMA, Mistral—cloud or local).



Contact Us

Private On‑prem Offline
 On-Prem Online
 Cloud Deployment
 RAG over your documents
 Open‑source or commercial models
 Security Tested
 LLM Development 

Key Features:


From your docs to trusted answers — securely and with citations.

Ask questions in plain English. Get answers grounded in your data with clickable sources, and enforce access by team or department. Works with OpenAI, LLaMA, Mistral and more..

Secure Ingestion

Upload PDFs, Word, Excel, tickets and wiki pages. Keep everything inside your environment with encryption in transit and at rest. Incremental ingestion means fast updates.

Granular Access Control

Permissions by team, department or project. Filtered retrieval ensures users only see content they’re allowed to access. Integrates with SSO / LDAP / OAuth.

Deployment Options

On‑prem VM, Kubernetes, or private cloud. Hardened defaults, secrets management, and backups included.

Model Flexibility

Use OpenAI for general summaries, LLaMA/Mistral for private workloads, or swap models without changing workflows. Hybrid and offline modes supported.

Observability

Analytics for queries, latency, top documents, and feedback loops. Optional human‑in‑the‑loop review for sensitive tasks.




Vector Search and Citations

Semantic search finds meaning, not just keywords. Every answer includes citations and exact source snippets used to generate the response.

How it works (Forest View)

A simple four‑step loop that turns documents into reliable answers.


  • Ingest: Securely upload or sync your files.
  • Index: We extract, chunk and create vector embeddings.
  • Ask: Type natural‑language questions in the chat UI.
  • Answer: The assistant retrieves best‑match passages and generates a grounded answer with citations.


Symptom intake, eligibility, education handouts

Conversational intake collects symptoms, history, and demographics; checks eligibility/payer rules; auto-attaches the right education handouts pulled from your clinical library.


SOAP-style note drafting; policy guardrails

Drafts Subjective, Objective, Assessment, Plan notes using your clinic templates. Guardrails enforce scope of practice, triage rules, and escalation (e.g., red-flag symptoms).


De-identification pipeline; audit logging

PHI/PII is detected and masked for analytics and model learning. Every prompt, draft, edit, and sign-off is audited with user/time/source.


Cloud or on-prem per compliance need

Deploy in Canada (AWS ca-central-1, Azure Canada Central/Quebec City) or on-prem (Online or Offline). Supports PIPEDA/PHIPA patterns; HIPAA-ready guidance available.


How it works

  • Capture: Web/tablet form or kiosk collects intake; uploads prior PDFs (labs, referrals).
  • Retrieve: RAG fetches clinic SOPs, pathways, and past notes.
  • Draft: Generates SOAP note + ICD/CPT suggestions; attaches education handouts.
  • Approve: Clinician reviews/edits; approval commits to EHR or uploads to your document store.
  • Learn: Edits/overrides feed the learning loop (per-clinic, policy-aware).


KPIs

  • Intake time per patient
  • Draft-to-final edit distance
  • Red-flag capture rate & on-time escalation
  • Patient comprehension score (handout reads/acknowledgements)


Integrations

Secure LDAP, fax-to-PDF ingestion, SSO (Azure AD/Okta), file stores, and optional EHR document upload endpoints.

Answers bylaw, permits, services with citations

Residents ask questions in plain language; answers cite exact clauses/pages from bylaws, permit guides, and service pages.


Multilingual, WCAG-friendly, low-bandwidth

Supports English/French + additional languages; WCAG 2.1 AA compliant UI; optimized for older devices and rural connectivity.


Staff console for review & updates

Editors can approve suggested answers, push updates, and view unanswered/ambiguous queries to improve content.


Data residency in Canada

All content, logs, and embeddings remain in Canadian regions or your municipal data centre.


How it works

  • Ingest: Bylaws (PDF), forms, service pages, FAQs, minutes/agendas.
  • Classify: Intent detection (permits, taxes, waste, recreation, transit).
  • Retrieve: RAG pulls the exact section/paragraph; highlights the source.
  • Answer: Generates a short, citizen-friendly response with links/citations.
  • Review: Staff console shows drafts, flags low-confidence answers, and schedules content refreshes.


KPIs

  • First-contact resolution (FCR)
  • Average handle time/deflection rate
  • Citation click-through (transparency)
  • Language coverage & accessibility score


Integrations

Municipal CMS (page sync), email (O365/Gmail), Teams/Slack for staff approvals, and optional 311/telephony transcripts.

Security & Compliance.

Your data stays private. Period.

  • Encryption in transit (TLS 1.2+) & at rest (AES‑256).
  • Role‑based access control with least‑privilege defaults.
  • PII scrubbing and optional redaction at ingestion.
  • Compliant patterns for PIPEDA / GDPR; HIPAA‑ready deployment guidance.
  • Isolated VPC, private subnets, security groups; on‑prem hardened builds.
  • Audit logs: who searched what, when, and which sources were accessed.
Deployment Modes

On‑prem (VM/K8s), private cloud (AWS/Azure/GCP), or fully offline with local LLMs.

What you will get

Finance can search budgets & invoices; HR can search policies; Clinics can search SOPs. Cross‑team data is never exposed.

What we’ll cover

Secure ingestion from your sample docs, Vector search & grounded answers, Access control by team/department, Model options: OpenAI vs. LLaMA vs. Mistral