Meet IndiBot —
Your AI Chatbot,
Your Knowledge.
An enterprise-grade AI chatbot that learns from your documents, policies, and data. Built on Google Gemini, LangChain, and RAG — deployed in days, not months.
What IndiBot Can Do
A full-stack AI assistant engineered for enterprise — not just a widget, but a knowledge layer across your entire business.
RAG-Powered Knowledge Base
Ground every response in your actual documents — PDFs, Word files, URLs, databases. No hallucinations. Answers sourced from your verified content with citations.
Multi-Turn Conversation
Context-aware dialogue that remembers the full conversation thread. Handles follow-up questions, clarifications, and complex multi-step queries naturally.
Multilingual Support
Responds in 22+ languages including Hindi, Tamil, Telugu, Bengali, and all major Indian regional languages via Bhashini integration. One bot for every user.
Smart Lead Capture
Intelligently collects visitor information — name, email, intent — at the right moment in the conversation, with GDPR-compliant consent flows built in.
Agentic Task Execution
Goes beyond Q&A — can book appointments, fill CRM records, trigger workflows, search internal systems, and hand off to human agents seamlessly.
Analytics & Reporting
Full conversation analytics dashboard: resolution rates, unanswered queries, CSAT scores, topic distribution, and peak usage patterns for continuous improvement.
Enterprise Security
Role-based access control, encrypted vector storage, data residency options, SOC 2 aligned logging, and on-premise deployment available for sensitive industries.
White-Label Ready
Full custom branding — your logo, colors, domain, and tone-of-voice. Embed as a widget, serve from a standalone URL, or integrate into your existing app.
Response Caching
Semantic caching layer reduces repeated API calls by up to 70%, cutting operational costs significantly while maintaining sub-second response times at scale.
Built on Best-in-Class Technology
Every layer of IndiBot is chosen for enterprise reliability, developer transparency, and AI accuracy — from the LLM core to the vector store.
Retrieval-Augmented Generation — Your Bot, Your Data
Standard chatbots hallucinate. IndiBot doesn't. RAG (Retrieval-Augmented Generation) ensures every answer is drawn directly from documents you've approved — with a traceable source reference.
Document Ingestion
Upload PDFs, Word docs, URLs, SharePoint pages, or connect databases. Our pipeline extracts, cleans, and chunks content into optimal segments for retrieval.
Vector Embedding
Each document chunk is converted into a high-dimensional vector using Google's text-embedding-004 model and stored in a vector database with metadata.
Semantic Retrieval
When a user asks a question, the query is embedded and a cosine similarity search finds the top-K most semantically relevant document chunks — in milliseconds.
Grounded Generation
Retrieved chunks are injected into a carefully engineered prompt. Gemini generates an answer strictly grounded in those chunks — with citations, confidence scores, and fallback handling.
Continuous Learning
Unanswered or low-confidence queries are logged for your review. Update your knowledge base — changes reflect live within minutes, no retraining needed.
Connects to Your Existing Stack
IndiBot integrates with the tools your team already uses — no complex middleware or custom development required.
Website Embed
Drop one script tag on any site. Zero CMS configuration. Works with WordPress, Webflow, React, or plain HTML.
REST API
Full REST API for programmatic integration into your mobile app, backend, or internal tool. OpenAPI spec included.
On-Premise / Private Cloud
Deploy entirely within your VPC or on-premise servers. All data stays in your environment. Available for Enterprise plans.
IndiBot vs Generic Chatbots
Simple, Transparent Pricing
All plans include setup, onboarding, and 60 days of free support. No hidden fees.