Frustrated with rule-based chatbots that give scripted answers, frustrate customers, and kill conversions? We build AI chatbots using RAG and agentic AI — they answer from your verified data, handle real conversations, and take action inside your business systems.
Are you frustrated with rule-based chatbots that lack personalisation, give vague scripted answers, fail to resolve complex customer issues, and result in high abandonment rates? You are not alone. Most chatbots deployed by businesses today are little more than glorified FAQ menus dressed up as conversations.
They break the moment a customer asks something outside the script. They cannot access your product catalogue to give an accurate answer. They cannot push a qualified lead to your CRM. They cannot take action. And customers have learned to distrust them — 40% of users abandon chatbot conversations within the first two messages when the bot fails to understand them.
Agentic AI and RAG change everything. Your chatbot stops being a lookup tool and becomes an active agent that understands context, retrieves accurate information from your own data, and takes real action inside your business systems.
An AI chatbot uses a large language model (LLM) to understand natural language, maintain conversation context, and generate relevant responses. Unlike rule-based bots, AI chatbots can handle questions they have never been explicitly trained to answer.
What makes Vimehi's chatbots different is the combination of RAG (Retrieval-Augmented Generation) and agentic AI. RAG connects the chatbot to your own verified documents, product catalogue, FAQs, and knowledge base — so it answers from YOUR data, not generic AI training. Agentic AI gives the chatbot the ability to take multi-step actions: book appointments, push leads to your CRM, trigger workflows, search databases, and complete tasks end-to-end.
We connect your chatbot to your documentation, FAQs, product catalogue, and help articles using RAG with vector databases (Pinecone, Chroma, pgvector). The chatbot retrieves the most relevant information and generates accurate, specific answers from your verified sources — not open-ended AI inference.
Engage website visitors proactively, ask your qualifying questions, score leads against your criteria, capture contact information, and automatically push qualified leads to HubSpot, Salesforce, Zoho, or Pipedrive via API — with zero manual data entry.
Deflect repetitive support tickets with AI. Our support chatbots handle FAQs, check order status, process returns requests, and escalate to a human agent with full context when needed — reducing support ticket volume while improving response times.
Deploy your AI chatbot on WhatsApp Business API, reaching customers on the channel they already use. Handle appointment reminders, order confirmations, support triage, payment requests, and transactional conversations at scale.
Automate your booking flow completely. Our chatbots check live calendar availability, confirm appointment details, send reminders, handle rescheduling, and sync with Google Calendar, Calendly, or Acuity — 24/7, no receptionist required.
For complex workflows, we build agentic chatbots that take multi-step autonomous actions: search databases, call external APIs, trigger n8n automation workflows, process uploaded documents, and complete tasks end-to-end without human direction.
Product discovery, order tracking, returns automation, abandoned cart recovery via WhatsApp — connected to Shopify, WooCommerce, or your custom platform.
User onboarding chatbots, in-app support from your documentation, and sales qualification bots that engage trial users and push warm leads to your CRM.
Patient intake, appointment booking, symptom checkers with appropriate escalation, and clinic FAQ bots with healthcare-appropriate data handling.
Property enquiry qualification, viewing scheduling, and lead capture deployed on your website or WhatsApp — connected to your CRM.
Client FAQ automation, appointment scheduling with advisors, lead pre-qualification, and document collection chatbots with appropriate compliance guardrails.
Consultation booking, client FAQ automation, and lead pre-qualification for law firms, accountants, consultants, and agencies.
OpenAI GPT-4o, Anthropic Claude, Google Gemini, Mistral, local models via Ollama — selected based on your accuracy, cost, and data privacy requirements
Pinecone, Chroma, Weaviate, pgvector — with LangChain or LlamaIndex for retrieval pipeline orchestration
Website widget (JavaScript embed), WhatsApp Business API, Telegram, Facebook Messenger, Slack, REST API for custom integrations
HubSpot, Salesforce, Zoho CRM, Pipedrive, Zendesk, Freshdesk, Intercom — bidirectional sync via API
Shopify, WooCommerce, Magento, BigCommerce — real-time product, order, and inventory access
n8n, Zapier, Make.com, webhooks — trigger downstream workflows from chatbot interactions automatically
We identify your highest-value chatbot use cases, map conversation flows, define success metrics, and agree on integrations needed before writing a line of code.
We structure your existing content — FAQs, product data, policies, documentation — into a RAG-compatible vector knowledge base the chatbot retrieves from accurately.
We build the chatbot, configure LLM behaviour and guardrails, connect all integrations (CRM, calendar, helpdesk), and test against real customer queries and edge cases.
We deploy to your chosen channels, monitor early conversation performance, and iterate based on real user interactions — plus documentation so your team can manage content updates.
A rule-based chatbot follows fixed scripts and fails outside them. An AI chatbot uses an LLM to understand natural language intent. With RAG, it answers from your own verified business data — making it accurate, flexible, and able to handle real customer conversations.
RAG (Retrieval-Augmented Generation) connects your chatbot to your own documents, FAQs, and product data. It answers from YOUR verified sources rather than generic AI training, eliminating hallucination and keeping responses accurate to your business.
Yes. It asks qualifying questions, scores leads against your criteria, and automatically pushes qualified leads to HubSpot, Salesforce, Zoho, or any CRM via API — zero manual data entry.
Yes. We deploy on WhatsApp Business API for appointment reminders, order updates, support triage, and transactional conversations at scale.
Standard chatbots with knowledge base and CRM integration: 1–3 weeks. Complex agentic chatbots with multiple integrations: 3–6 weeks. Clear scope and timeline before we start.
RAG ensures the chatbot answers from your verified knowledge base. Guardrails and fallback logic route users to a human agent when confidence is low — rather than guessing.
Book a free demo and see a RAG-powered AI chatbot answer real questions from your industry — accurately, instantly, and without hallucination.
Book Your Free Chatbot DemoHandle inbound calls with the same AI intelligence as your chatbot — answering, qualifying, and booking around the clock.
Connect your chatbot to every tool in your stack with n8n — CRM updates, notifications, fulfilment triggers, and more.
A fast, conversion-optimised website with your AI chatbot embedded and working from day one.