Docimal AI Agent Chatbot & Automation
A multi-tenant AI Agent Chatbot & Automation Platform for building intelligent assistants over internal knowledge, workflows, and external APIs.
/ Overview
Docimal AI is a multi-tenant AI Agent Chatbot & Automation Platform that lets businesses build intelligent conversational assistants. It combines RAG-powered knowledge retrieval, customizable AI agents, embeddable chat widgets, a visual workflow builder, and enterprise-grade organization management — turning conversations into real business actions across knowledge search, form filling, document generation, and third-party API integration.
Get in touch/ Project Details
Name:Docimal AI Agent Chatbot & Automation
Client:Docimal
Industries:AI / SaaS, Automation
Date:2025
Project page:https://docimal.site/
/ Challenge
Delivering a production AI platform meant grounding answers in real data while keeping multi-tenant teams fully isolated. Source-cited RAG retrieval, configurable agents, and secure organization/workspace management had to work together so AI assistants stay reliable, multilingual, and safe to embed anywhere.
/ Provided Services
AI Agent Chatbot
Customizable agents that answer from internal knowledge, call tools, hit external APIs, and converse in English and Vietnamese.
RAG Knowledge Base
Ingest PDF, DOCX, XLSX, TXT, HTML, and Markdown with chunking, vector search, semantic retrieval, and source citations for grounded answers.
Workflow Automation
Visual workflow builder to collect data, trigger tools, send notifications, generate documents, and integrate with business systems.
Multi-tenant Management
Organization, tenant, and workspace management with RBAC, invitations, JWT/OAuth auth, and secure data isolation across teams.
/ Solution
A modern, type-safe web app fronts a service-oriented backend with vector search, queues, and an API gateway. Next.js, React, and TypeScript power the dashboard, chatbot configuration, workflow builder, and embeddable widgets; NestJS, FastAPI, PostgreSQL, Qdrant, Redis, and RabbitMQ handle agents, retrieval, and automation behind Kong Gateway.
/ Tech stack
Next.js + React + TypeScript
Dashboard, auth, workspace management, chatbot config, workflow builder UI, and embeddable chat experiences.
Tailwind CSS + Radix UI
Accessible, consistent component system and styling.
NestJS + FastAPI
Service-oriented backend for agents, automation, and AI retrieval.
PostgreSQL + MongoDB + Qdrant
Relational data, documents, and vector search for RAG.
Redis + RabbitMQ + Kong Gateway
Caching, async messaging, and API gateway for scale and reliability.
Stripe + Socket.IO
Subscription billing and real-time chat experiences.
