Turn your PDFs into a chat that answers for you
Law firms, clinics, retail and consultancies use RAG assistants powered by Claude API + Qdrant to stop answering the same questions. Delivered in <2 weeks with verifiable citations to the exact paragraph.
You have the knowledge — it's just trapped in folders
Two people know the whole playbook
Your entire operation depends on two people who memorize the protocols. When they take PTO, the team stalls.
New hires take 3-6 months to answer without errors
They dig through Slack, Teams and old emails. They interrupt senior teammates all day.
Customers ask the same thing 40 times a week
Your team retypes the same answers on WhatsApp and email. Copy-paste is the main activity.
PDFs live in Drive, searched with Ctrl+F
Contracts, policies and protocols exist, but nobody trusts they will find the right clause on the first search.
RAG with Claude API + Qdrant, trained on your documents
Not a generic chatbot. Your assistant, with your vocabulary, citing the exact paragraph. Connects to WhatsApp, web, Slack or Teams — the channel your team already uses.
Ingest your documents
Upload PDFs, contracts, protocols and manuals. We clean, chunk and embed them with OpenAI into Qdrant. OCR for scanned docs included.
Retrieval + Claude
Every question retrieves the most relevant chunks and Claude answers with citations. If the answer isn't there, it says so — zero invented hallucinations.
Deploy to your channel
Web widget, WhatsApp via WAHA, Slack or Teams. Metrics for top questions and answer quality from day one.
Verticals where we are already shipping
Contract chat for a law firm
A 12-lawyer firm uploads all template contracts. The assistant tells associates which clause to use for each case, citing the source contract. Juniors ramp up without depending on partners.
Typical ROI
6h/wk → 45 min/wk per junior lawyer
Medical protocol assistant
Dermatology clinic indexes all treatment protocols. Nurses and doctors ask on WhatsApp when in doubt. Assistant cites the exact protocol section and page.
Typical ROI
70% drop in urgent consults to head doctors
Product manual for sales team
Retail chain with 400 SKUs. Sales staff ask the assistant about warranty, compatibility or specs. Answers in <5 seconds, in the customer language.
Typical ROI
USD 8-12k/month saved on L1 support
Battle-tested infra, swappable components
Everything self-hosted on your infra or on Mbizdev infra. No vendor lock-in. If tomorrow you switch model provider or vector DB, we change an env var.
Models
- Claude Sonnet 4.6
- OpenAI text-embedding-3
- Cohere reranking
Vector DB
- Qdrant self-hosted
- One collection per client
- 1M+ chunks OK
Ingestion
- PDF, DOCX, HTML
- OCR for scanned docs
- Auto-sync Drive/S3
Channels
- Web widget
- WhatsApp via WAHA
- Slack and Teams
- REST API
Start with diagnostic, scale with sprint + retainer
Diagnostic
Free
60 min · no commitment
- Audit of current documentation
- Estimate of chunks and monthly cost
- Live demo with 3 of your PDFs
- PDF deliverable with recommendation
Assistant sprint
USD 3,500 - 6,000
one-shot · 2 weeks
- Ingest up to 500 PDFs (~50k pages)
- Web widget + 1 channel (WhatsApp/Slack/Teams)
- Vertical prompt engineering
- Metrics dashboard
- Team training + docs
Retainer + hosting
USD 200 - 800 / mo
SLA, updates, Qdrant hosting
- Qdrant hosting + daily backups
- On-demand re-ingestion when you update docs
- Monthly tuning on real queries
- 24h response SLA
- New channels on request
What people ask before signing
No. The assistant only answers using chunks retrieved from your documents and always cites the source. If the answer is not in the PDFs, it says "not in the documentation" instead of guessing.
Turn your documentation into your best employee
In 60 minutes we look at your PDFs and tell you whether a RAG assistant makes sense for your operation. If it doesn't, we tell you that too.