For SaaS founders
Production RAG assistants, not demos
Documentation search, support deflection, and internal knowledge assistants that answer from your content — deployed, embedded, and monitored.
Book a 30-min callKhaas builds production RAG (retrieval-augmented generation) assistants for SaaS products — grounded in your own documentation, deployed as an embeddable widget, and behind a five-layer safety pipeline that has handled 13,000+ conversations in production.
Who it’s for: SaaS teams whose support volume or onboarding friction is growing faster than headcount.
See a live RAG assistant
DocsChat is a production RAG widget you can use right now — paste a URL, ask a question, watch it answer from the content.
Open the live DocsChat demoThe problem
- Your team answers the same questions repeatedly while the answers already exist in your docs.
- Off-the-shelf AI chat needs config files, ML knowledge, or custom integration work you don’t have time for.
- Generic chatbots hallucinate because they let the model improvise instead of retrieving grounded answers.
What you get
- Crawl and index your documentation into pgvector, with re-index on demand.
- Schema-constrained Claude responses — the model cannot return malformed data.
- A two-line embeddable widget, iframe-isolated so it never collides with your site’s styling.
- Monitoring, prompt and index tuning, and a monthly performance report on the care retainer.
How I work
Assess → Build → Integrate → Operate
Assess
Audit your docs, data, and tooling. Name the highest-ROI use case before writing code.
Build
Ship the system — deterministic pipeline, grounded retrieval, schema-constrained output.
Integrate
Embed it in your product and workflow. Two-line widget, your branding, your stack.
Operate
Monitor, tune prompts and indexes, update models, and report performance monthly.
Pricing
AI Discovery Sprint
Audit of your docs and support data, plus a prioritised RAG roadmap with ROI per use case.
Support Deflection System
A production RAG assistant on your existing documentation — deployed and embedded.
AI Care Retainer
Monitoring, prompt/index tuning, model updates, and a monthly performance report.
FAQ
How long until a RAG assistant is live?
A production Support Deflection System is a fixed-scope build from €18,000; a scoped roadmap comes out of the one-week €2,500 Discovery Sprint first, so you commit to the build with ROI already estimated.
Why won’t it hallucinate?
Answers are retrieved from your documentation and the model’s output is schema-constrained. Deterministic retrieval and validation run around the model, not the other way round.
Can I see one working?
Yes — DocsChat is a live RAG widget you can use right now at docschat.khaas.net.