ServicePRIVATE KNOWLEDGE + RAG/ rag-implementation
RAG Implementation
Private knowledge base chatbots with evaluation, guardrails, and observability.
Time-to-MVP
2–6 weeks
Integrations
CRM / Ops / API
Quality
Eval + monitoring
Overview
This is for you if…
If you want a safe chatbot over internal docs.
If quality matters: eval + regression.
If you need access control + auditability.
Overview
Deliverables
Chunking + retrieval
Eval harness
Guardrails + monitoring
Overview
Outcomes
Less searching
Fast, relevant answers.
Measurable quality
Eval set + thresholds.
Stable in prod
Guardrails + monitoring + drift.
Process
Simple 3 steps
01
Discovery
Goals, data, integrations. Short audit + plan.
02
Build
Iterative delivery: prototype → production. Tests + controls.
03
Operate
Metrics, monitoring, drift. Continuous tuning.
FAQ
Short answers
Do you support private data?+
Yes — private RAG, controlled access, auditability.
How do we measure quality?+
Offline eval sets + production metrics and drift detection.
SEMANTIC_SPACE.exe
Live Vector Search Simulation
Security + quality
Production controls
Logging, alerts, release gates — with documented operation.
Next step
15 minutes — and scope is clear
We’ll send a short checklist, then propose timeline and first metrics.