Use cases
Who RAQS is for — and where it helps
RAQS is a voice AI assistant you add to any website with one line of code. Visitors tap, speak, and RAQS answers from your own content, guiding them on the page when needed. So where does that actually make a difference? Below we walk through four core use cases — e-commerce, customer support, education and corporate knowledge bases — with concrete scenarios, and link out to a detailed page for each.
One engine, four different verticals
There is a single technical foundation under RAQS: it crawls your site, chunks your content, embeds it with Azure and stores it in pgvector; at query time it runs a hybrid search (semantic vector + keyword + RRF fusion + relevance threshold) and produces an answer only from your content. This architecture is vertical-agnostic — what changes is the nature of the content and the job expected of the assistant.
On an online store the job is to find products, confirm stock and price, and guide to the cart. On a support site the same engine produces step-by-step answers from your FAQ and docs. On an education platform it explains course content and ties a student's question back to its source. On a corporate intranet it gathers scattered documents into one voice interface. One install, one dashboard; four distinct values.
Shared foundation
Crawl → chunk → Azure embeddings → pgvector → hybrid retrieval.
Vertical-specific job
Find products, resolve tickets, explain lessons, search docs.
Never hallucinates
If it's not in your content it says it doesn't know.
One-line setup
Same <script> in every vertical — live in minutes.
E-commerce — a voice product advisor
In online stores, visitors usually know what they want but not where it is. RAQS closes that gap: a question like 'do you have waterproof winter boots, and how much?' is answered straight from the schema.org JSON-LD on your product pages (name, brand, price, stock, category). With agent actions, saying 'show me this' takes the visitor to the right product page and can even trigger steps like add-to-cart — while sensitive operations such as payment require user confirmation.
The result is a voice sales assistant that cuts cart abandonment and lifts conversion. See the details on the e-commerce page: /en/use-cases/ecommerce.
Product data
Price/stock/brand/category from JSON-LD; 'in stock, how much?' answered.
Voice guidance
'Show me this' → the right product page; add-to-cart.
Detailed page
/en/use-cases/ecommerce
Customer support — 24/7 first-line help
Support teams spend much of their time on repetitive questions whose answers already exist in the help center. RAQS lightens that load: it crawls your FAQ page, documentation and knowledge-base articles, or lets you upload them as PDF/Word, then answers the visitor's question in a natural conversation. Because it answers only from content you approved, there is no misinformation risk; if the answer isn't there it honestly says so and sets up a hand-off to a human.
Barge-in and low latency keep the conversation fluid — no getting lost in long menus. Details on the support page: /en/use-cases/customer-support.
Repetitive questions
Instant, correct answers from FAQ + docs.
Honest boundary
Says when it doesn't know; ready hand-off to a human.
Detailed page
/en/use-cases/customer-support
Education — a source-grounded voice teaching aide
On education platforms and school sites, RAQS turns course content and institutional info into a voice aide. When a student asks 'what's the summary of this topic?', the answer comes only from the course material you uploaded — no invention, so the risk of teaching something wrong is minimized. PDF, Word, text and your own site can all be sources; because content is chunked and semantically indexed, students can ask in their own words.
For parents and prospective students, enrollment, schedule and campus information is answered by voice. Details on the education page: /en/use-cases/education.
Source-grounded
Answers only from uploaded course material.
Natural questions
Students ask topics in their own words.
Detailed page
/en/use-cases/education
Enterprise & knowledge base — one voice door to scattered docs
Company knowledge is usually scattered: intranet pages, procedure PDFs, HR documents, product manuals. RAQS gathers all of it into a single voice interface. When an employee asks 'how do I file a leave request?', the answer comes from the HR document you uploaded. Thanks to multi-tenant architecture and row-level security (RLS), each organization's data is isolated; origin allowlist and Cloudflare Turnstile block abuse; EU-region Azure hosting keeps KVKK and GDPR in view.
This boosts internal efficiency and gives customer-facing corporate sites a consistent, auditable source of truth. Details on the enterprise page: /en/use-cases/enterprise.
One interface
Intranet + PDFs + HR docs behind one voice door.
Isolation
RLS, origin allowlist, Turnstile; KVKK/GDPR-aware.
Detailed page
/en/use-cases/enterprise
Which one is yours? One step to start
Whether you run e-commerce, support, education or a corporate knowledge base, setup is the same: add your site in the dashboard, crawl the knowledge base or upload files, pick a mascot and persona, and drop one <script> line into your site. Start with a free trial and pay as you go (PAYG usage + a base plan). With managed/hosted cloud you never touch the infrastructure.
<script async src="https://raqs.ai/v1/raqs.js"
data-raqs="YOUR_SITE_KEY"></script>FAQ
Where is a voice assistant used?
Most often in e-commerce (product advice), customer support (answering from FAQ/docs), education (explaining course content) and corporate knowledge bases (gathering scattered docs into one voice interface).
Which vertical is RAQS best for?
One engine serves four areas; it creates the most value on content-heavy sites with repetitive questions — stores, help centers, education platforms and corporate intranets.
Do I need a separate setup per use case?
No. Setup is the same: add your site, feed the knowledge base and drop in one <script> line. Only the nature of the content and the persona settings change.
Will RAQS give wrong information?
No; it answers only from your knowledge base. If the answer isn't there it says it doesn't know and never hallucinates.
Can data from different verticals mix?
No. In the multi-tenant architecture, row-level security (RLS) isolates each tenant's data; origin allowlist and Turnstile are also in place.
Which use case is yours?
E-commerce, support, education or enterprise — go live in minutes with one line of code.
Start free