RAQSBlog
The RAQS voice AI blog
This blog holds practical, technical and honest guides about adding a voice AI assistant to your website. Instead of marketing gloss, we explain the real mechanisms: how the voice pipeline works, how RAG answers without hallucinating, how stock and price questions are answered correctly in e-commerce, how to stay KVKK-compliant, and what actually separates a classic chatbot from a voice AI. The five articles below cover the foundations you need to get started.
What this blog is about
RAQS is a voice AI assistant you add to any website with one line of <script> code: a visitor taps the orb or a 3D mascot, speaks, and hears the answer. The assistant answers from your own content; when it doesn't know, it doesn't make things up — it says it doesn't know. In this blog we take that system apart piece by piece, from the wake word to RAG, from agent actions to KVKK compliance.
Every article is grounded in RAQS's real capabilities: the browser Web Speech wake word, low-latency LiveKit realtime transport, Azure Speech for speech-to-text/text-to-speech, an Azure OpenAI-based brain, hybrid RAG that crawls your site and stores it with Azure embeddings plus pgvector, and an agent layer that acts on the page. Rather than generic tips, you'll read how to apply this on your own site.
Getting started: how to add voice AI to your site
The first article is an end-to-end setup guide: a single <script> line, adding your site in the dashboard, crawling your knowledge base or uploading files, setting allowed domains, and picking a mascot/persona. It shows the concrete steps to go live in minutes without writing code.
Add voice AI to your site
From one script line to a live assistant: setup, knowledge-base crawl and the first conversation. /en/blog/add-voice-ai-to-your-site
The core technology: what is RAG?
The secret to a voice AI giving correct answers is RAG (Retrieval-Augmented Generation). This article explains how your content is chunked, embedded with Azure, stored in pgvector, and how at query time semantic search and keyword search are fused with RRF and filtered by a threshold. It explains, technically, why the assistant doesn't hallucinate.
What is RAG?
How Retrieval-Augmented Generation works, hybrid search, and why there's no hallucination. /en/blog/what-is-rag
By industry: voice assistants for e-commerce
Voice AI offers special value to e-commerce sites. This article covers how schema.org JSON-LD data on product pages (name, brand, price, stock, category) is extracted and how questions like 'is this in stock, how much?' are answered correctly; it also covers agent actions like guiding shoppers to the right product and adding to cart.
Voice assistant for e-commerce
Correct stock/price answers, product guidance and add-to-cart. /en/blog/voice-assistant-for-ecommerce
Compliance and comparison
The final two articles cover the two questions asked most in the Turkish market. One explains KVKK-compliant use of AI — tenant isolation with row-level security, an SSRF-guarded crawler, an origin allowlist, Turnstile, and EU-region Azure hosting. The other compares the real differences between a classic text chatbot and a voice AI assistant, and which is the right choice when.
KVKK-compliant AI
Data isolation, EU-region Azure, allowlist and security layers. /en/blog/kvkk-compliant-ai
Chatbot vs voice AI
Text bot or talking assistant? Differences, advantages and the right pick. /en/blog/chatbot-vs-voice-ai
FAQ
Who are these articles for?
Site owners, e-commerce managers and technical teams considering adding a voice AI assistant to their site. They cover both setup and the underlying architecture.
Are the articles based on real RAQS capabilities?
Yes. We describe real mechanisms — the Web Speech wake word, LiveKit transport, Azure Speech/Azure OpenAI, hybrid RAG, agent actions and KVKK compliance; no invented features.
Which article should I start with?
If you have no experience, start with the guide to adding voice AI to your site; then read 'What is RAG' to understand how the system answers correctly.
Does the voice AI make answers up?
No. RAQS answers only from your knowledge base; if it isn't there, it says it doesn't know. We explain why in detail in the RAG article.
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