AI-Powered

Visibility Docs AI

Enterprise Document Intelligence Platform with multi-provider AI chat, semantic search, and smart document management.

4+
AI Providers
15+
Doc Types
100%
Self-Hosted
24/7
Availability

Multi-Provider AI Engine

Switch between Groq, OpenAI, Gemini, Anthropic, or any custom endpoint seamlessly.

🔍

Semantic Document Search

Vector embeddings with ChromaDB for lightning-fast document retrieval. Ask questions and get answers sourced directly from your documents.

🤖

Multi-Provider AI Chat

Automatic fallback between Groq, OpenAI, Gemini, and Anthropic. If one provider is down, the next one picks up automatically.

📄

Smart Document Processing

Auto-categorization for resumes, invoices, contracts, HR docs, financial statements, and 10+ more document types.

🔐

Role-Based Access Control

Department-level permissions, leader-only document sharing, and granular admin controls for enterprise security.

📈

Real-time Processing

Documents are processed, chunked, and embedded in real-time. Status tracking shows upload, processing, and completion states.

🛡

Enterprise Architecture

Next.js frontend, Express.js API gateway, FastAPI AI backend, MongoDB + SQLite. Docker-ready for one-command deployment.

Live Chat Demo

Experience the AI document assistant. Ask anything about your uploaded documents.

Visibility Docs AI Assistant Powered by Groq + Llama 3
Hello! I'm your document intelligence assistant. I can help you search, summarize, and answer questions about your organization's documents. What would you like to know?

API Quick Start

# Chat with your documents curl -X POST https://your-api.com/api/docs/chat \ -H "Authorization: Bearer YOUR_TOKEN" \ -H "Content-Type: application/json" \ -d '{"message": "Summarize all Q3 financial reports", "departmentId": "finance"}' # Upload a document curl -X POST https://your-api.com/api/docs/upload \ -H "Authorization: Bearer YOUR_TOKEN" \ -F "file=@contract.pdf" \ -F "departmentId=legal" # Python SDK from fastapi import FastAPI import httpx async def ask_documents(question: str): async with httpx.AsyncClient() as client: resp = await client.post( "https://your-api.com/api/docs/chat", json={"message": question}, headers={"Authorization": f"Bearer {TOKEN}"} ) return resp.json()

Tech Stack

Next.js 16
Express 5
FastAPI
MongoDB
ChromaDB
Groq / Llama 3
OpenAI
Gemini