Chat demo · Professional services, e-commerce, HR, education · Build in 3–6 weeks
RAG Business Chatbot
A chatbot that answers from your documents — not from guesses.
The RAG Business Chatbot demo is a working chat agent that answers questions about a fictional business using its handbook, policies, and product docs — every answer pinned to a visible citation so nothing is hallucinated. It runs on the same retrieval-augmented generation pattern we ship for customer-service triage, internal knowledge search, and HR helpdesks. Click a suggested question or type your own; the widget is fully client-side so the demo runs without network calls.
Westside Auto Assistant
Grounded in handbook + policy docs
Suggested
Preview runs on canned data · book a call to see it on your own
What this shows
The capabilities demonstrated.
- ✓ Answers pinned to source passages — every reply shows a cite
- ✓ Suggested-prompt buttons for the most common intents
- ✓ Graceful fallback when a question is out of scope
- ✓ Typing indicator and streaming token feel, without a live LLM
- ✓ Works on mobile; no microphone, no account needed
How we'd build this for you
4 steps. Yours, not a template.
Ingest
We pull your corpus — handbook, policies, product docs, knowledge base, tickets — and chunk, embed, and index it in a vector store (Pinecone or pgvector).
Retrieve
Each question runs through a retriever that pulls the top-k most relevant chunks. Hybrid search (keyword + semantic) catches brand-specific terms generic embeddings miss.
Ground
Retrieved chunks feed the LLM with strict "answer only from these" instructions, plus explicit citations. When no chunk answers the question, the bot says so instead of making something up.
Ship
Deployed as a widget on your site, a Slack bot, or an internal portal. We monitor every answer in week one and tune the retriever against real user questions.
Stack
Tools behind this demo.
Go deeper
Related services and case studies.
Service · from $15,000
AI Integration & Development
For businesses ready for advanced solutions. Custom AI agents that understand your business context, RAG systems that search your knowledge base, API integrations that connect your entire stack.
Learn more →
⚙Service · from $8,500 per workflow
Custom AI Automation
We build AI workflows that plug into your existing tools — CRM, email, spreadsheets, whatever you already use. Invoice processing, follow-ups, data entry, scheduling. The boring stuff that eats 10–20 hours a week.
Learn more →
Case study · Education
Bia Education
From course creation to certification tracking, built from scratch.
Read case study →
FAQ
RAG Business Chatbot: common questions
- Is the demo calling an actual LLM?
- No — this preview runs on local fixtures so it loads instantly and has zero abuse surface. The UX (citations, fallback, typing feel) is identical to our production deployments. Book a call and we will run a live version against your real documents in a private sandbox.
- How do I know the bot is not hallucinating?
- Every answer is pinned to a retrieved source passage. If no passage matches, the bot is instructed to say it cannot find the answer — and it does. Your team can audit every response in a log with the exact chunks that were retrieved. We run eval suites against your real questions before rollout.
- What corpus sizes are realistic?
- Most deployments sit at 100–50,000 documents, which is comfortable for a single-tenant vector index. We have shipped larger (250k+ tickets, 10 years of email archives) where we shard or pre-filter before retrieval. What matters more than size is cleanliness — well-structured markdown beats scanned PDFs every time.
- Can it do more than answer questions?
- Yes. Production bots often book meetings, open tickets, hand off to a human, trigger workflows (refunds, scheduling, onboarding), and call back into your systems. A RAG front-end is the easy part; the real value is the actions the bot can take. Scope grows with your budget.
Your turn
Want this demo running on your data?
Free 30-minute discovery call. We scope the build, confirm ROI, and ship a fixed-fee quote — no surprises.