Custom AI Chatbot for Businesses (RAG-Based) | Linklogy

A custom AI chatbot trained on your business, not the whole internet

Linklogy builds custom AI knowledge chatbots using Retrieval-Augmented Generation (RAG). The chatbot is trained on your business’s own services, pricing, and FAQs, so it answers customers accurately and can book appointments automatically — instead of guessing like a generic AI chatbot.

Definition

What is a RAG-based AI chatbot?

A RAG-based AI chatbot (Retrieval-Augmented Generation) is an AI assistant that looks up information from a specific knowledge base before answering, instead of relying only on what the underlying AI model already knows. Rather than generating a response purely from general training data, it retrieves the most relevant facts about your business first, then uses those facts to write the answer.

In plain terms: think of it as a new staff member who has read your entire business manual — services, pricing, timings, policies, staff availability — before taking their first customer call. It answers from that manual, not from general guesswork.

How it works, step by step

  1. Ingest: your business content (website pages, documents, FAQs, service lists) is collected and organized.
  2. Index: the content is broken into chunks and stored in a vector database, so relevant pieces can be found quickly.
  3. Retrieve: when a customer asks a question, the chatbot searches this knowledge base for the most relevant information.
  4. Generate: the AI model writes a natural-language answer using only the retrieved facts.
  5. Act: for supported actions like appointment booking, the chatbot calls a tool to check availability and confirm the booking directly.
What’s included

Built for real business use, not just conversation

Automatic appointment booking

Checks live availability and books appointments inside the chat, using tool-calling instead of just collecting a callback request.

Trained on your data only

Answers are grounded in your services, pricing, and policies, reducing incorrect or made-up responses.

24/7 lead capture

Every visitor question is answered and every lead is logged, even outside business hours.

Isolated knowledge base per client

Each business gets its own separate data collection, so information is never mixed between clients.

Admin dashboard

Track conversations, feedback, and booking activity through an admin panel with role-based access.

WhatsApp & voice, on request

The same chatbot knowledge base can extend to WhatsApp or voice calls as an additional add-on.

How it compares

Generic AI chatbot vs Linklogy’s RAG chatbot

Aspect Generic AI chatbot Linklogy’s RAG chatbot
Source of answers General internet knowledge Your business’s own verified data
Risk of wrong answers Can invent or guess details Restricted to retrieved facts
Appointment booking Usually not supported Built in, via tool-calling
Data privacy between clients Often shared or not applicable Isolated knowledge base per client
Ownership of technology Third-party resold widget Built and maintained in-house by Linklogy
Who it’s for

Where this chatbot fits best

Primary focus

Dental clinics

Answers patient questions about services and timings, and books appointments automatically, reducing missed calls and front-desk load.

Active client

Pharmaceutical companies

Handles product and company information queries with an always-available knowledge assistant.

Growing use case

Local service businesses

Any appointment-based or FAQ-heavy business can use the same platform to capture leads outside working hours.

How we build it

From your business data to a live chatbot

Step 1

Discovery

We review your services, FAQs, and appointment process.

Step 2

Knowledge base setup

Your content is structured and indexed into the chatbot’s knowledge base.

Step 3

Integration

Appointment booking and any other tool-calling actions are connected.

Step 4

Testing

We test real questions to confirm the chatbot answers accurately.

Step 5

Launch & monitor

The chatbot goes live on your site, with usage and feedback tracked in the dashboard.

Key takeaways

  • A RAG-based chatbot answers from your business’s own data, not general internet knowledge.
  • It can book appointments directly in the conversation through tool-calling.
  • Each client’s knowledge base is isolated and kept separate from other businesses.
  • Dental clinics are the primary focus today, with pharma and local service businesses also using it.
  • WhatsApp and voice are available as future add-ons on the same knowledge base.
Common questions

Frequently asked questions

What is a RAG-based AI chatbot?

A RAG-based AI chatbot uses Retrieval-Augmented Generation, a technique where the chatbot looks up relevant information from a business’s own knowledge base before generating an answer, instead of relying only on the general knowledge built into the underlying AI model. This means answers are grounded in the business’s actual services, pricing, and policies rather than guesses.

How is this different from a chatbot built on ChatGPT or a generic AI tool?

A generic chatbot answers from broad internet knowledge and can produce incorrect or made-up details about a specific business. Linklogy’s chatbot is connected to a knowledge base built from the business’s own content, so it only answers using verified information and can be restricted from responding to unrelated topics.

Can the chatbot book appointments automatically?

Yes. The chatbot uses tool-calling to check real-time availability and create appointments directly in the conversation, without a human needing to confirm the booking manually.

What kind of business data can the chatbot be trained on?

The chatbot can be trained on service lists, pricing, FAQs, policies, staff or doctor availability, location and timing details, and existing website content. Data can be provided as documents, website pages, or structured spreadsheets.

How long does it take to launch a chatbot?

Timeline depends on how much business data needs to be structured and how many integrations, such as appointment booking, are required. A typical build moves through discovery, knowledge base setup, testing, and launch in a phased process.

Is the chatbot only for dental clinics?

No. Dental clinics are an active focus area because appointment booking and patient questions fit the chatbot well, but the same system is used for pharmaceutical companies, local service businesses, and other appointment-based businesses.

Where can the chatbot be used?

The chatbot can be embedded as a widget on a business’s website. WhatsApp and voice call integration are available as additional add-ons.

Is my business data kept private?

Each client’s knowledge base is stored in an isolated, client-specific data collection, so information is not mixed or shared between different businesses using the platform.

See the chatbot answer your own business questions

Share your services and FAQs, and we’ll show you a working demo trained on your data.