Custom AI Chatbot Development
Deploy intelligent, multilingual conversational assistants trained on your proprietary catalogs, help center docs, and customer databases to resolve queries in seconds.
RAG-Powered AI Chatbots
Standard keyword chatbots frustrate customers with hardcoded loops. We build next-generation chatbots powered by Retrieval-Augmented Generation (RAG). By converting your PDFs, wikis, and product catalogs into secure database vector embeddings, our chatbots search and formulate precise, factual responses.
Our bots maintain chat history, adjust their tone according to user sentiment, and integrate seamless handoff protocols to route complex queries directly to human support representatives.
Grah AI Systems develops conversational systems optimized for web embedding, mobile apps, WhatsApp, and Slack integrations.
Chatbot Capabilities We Implement
Website Support Widget
Embeddable script matching your brand CSS. Resolves customer inquiries, collects lead data, and routes urgent cases.
Multi-Language Support
Full conversation capabilities across English, Hindi, Tamil, Telugu, Spanish, and over 40+ languages natively.
Internal Knowledge Assistant
A secure helper for employee search, reading manuals, HR policies, and technical SOPs without leaking data.
Human Handoff Routing
Triggers instant notifications on Slack or Zendesk to transition live conversations to human agents when needed.
Analytics Telemetry
A dashboard reporting common customer questions, response accuracy rates, and user sentiment analysis.
Dynamic CRM Linking
Automatically records conversational lead summaries and tags client intent tags directly into your contact lists.
Chatbot Technical Stack
| Capability Parameter | System Specification |
|---|---|
| Vector Database Layer | Pinecone, Supabase pgvector, pgvector on PostgreSQL |
| Embedding Models | OpenAI text-embedding-3, Cohere Embed v3 |
| Context Retrieval | Hybrid search (semantic + keyword BM25), reranking models |
| Handoff Interfaces | Intercom, Zendesk, LiveChat, Slack, custom webhook gateways |
