Getting Started

1. Create Project

Log in to your account and create a new project or add files to existing one. All your documents will be organized within projects.

2. Upload Files

Upload your documents within your project. We support multiple formats including PDF, Word, Excel, PowerPoint, text and SPSS file.

3. Start Using

Begin using powerful features like chatbot creation, sentiment analysis, or advanced market research analytics.

Getting Started Guide

Learn the basics of our platform and how to get started.

Medical Report Analysis

AI-Powered Medical Report Analysis & Comparison.

Project Management

Project Structure

Your project workspace is automatically organized when you start uploading documents:

  • Automatic Project Creation

    First document upload automatically creates a new project folder

  • File Organization

    All related documents stay organized within their project folder

  • Team Access

    Projects can be shared with team members for collaboration

Supported File Formats
  • 📄 PDF Documents
  • 📝 Microsoft Word (DOCX)
  • 📊 Microsoft Excel (XLSX)
  • 📑 PowerPoint (PPTX)
  • 📰 Text Files (TXT)
  • 🔢 SPSS Files (SAV)
  • 📋 JSON Files

Project Controls

Rename
  • • Change project names
  • • Update folder titles
  • • Modify file names
Add Files
  • • Upload new documents
  • • Multiple file uploads
  • • Update file context
Chat Bot
  • • Enable/disable bot
  • • Get embed code
  • • Manage interactions
Share
  • • Share with team
  • • Manage permissions
  • • Control access

File Management

Selection & Operations
  • File Selection

    Use checkboxes to select multiple files or click on "Select all project files" for batch operations

  • Multi-Document Chat

    Selected files contribute to chat context for comprehensive responses

File Controls
  • Archive Files

    Hide files from view without deletion (visible to shared users)

  • Delete Files

    Permanently remove files (affects all users)

Best Practices
  • Ensure documents are properly formatted

  • Remove unnecessary headers/footers

  • Use clear, consistent formatting

  • Organize documents by topic/category

File Management

How to Rename, Upload & Share Files in Ragenaizer AI | Easy Document Management

Core Features

AI-Powered Chatbot Solutions

Transform your business with our dual chatbot solutions - Document-Based and Analytical, each designed for specific use cases and seamlessly embeddable into your platforms.

Document-Based Chatbot

Transform your documents into interactive AI assistants that provide accurate, context-aware responses based on your uploaded content.

24/7 Document Support

Always available to answer document-based queries

Context Awareness

Understands document context for accurate responses

Supported Formats
  • 📄 PDF Documents
  • 📝 Microsoft Word (DOCX)
  • 📊 Excel Spreadsheets
  • 📑 PowerPoint Presentations
  • 📰 Text Files
External Document ChatBot For Any WebSite

Integrating Ragenaizer AI Chatbot on Your Website | Step-by-Step Guide

Analytical Chatbot

Process and analyze complex data sets through natural language queries, making data analysis accessible to all team members.

Data Analysis

Natural language queries for complex data analysis

Visual Insights

Automated chart generation and data visualization

Analysis Capabilities
  • 📊 Statistical Analysis
  • 📈 Trend Detection
  • 🔍 Pattern Recognition
  • 📉 Forecasting
  • 🎯 Anomaly Detection
External Analytical ChatBot For Dashboards

Integrate Ragenaizer’s Analytical Chatbot | AI-Powered Data Insights & Automation

Embedding Your Chatbot

Integrate your chatbot seamlessly into any website or application with our simple embedding options.

Integration Steps
  1. 1

    Copy your unique chatbot ID from the dashboard

  2. 2

    Add our script tag to your website's HTML

  3. 3

    Initialize the chatbot with your preferences

Document ChatBot Embedding Code [Keep the parameter "&tab=0"]
<script src="http://app.ragenaizer.com/systemjs/js/openchat.js?doc=tags-52881-1855&access=122...32:57..965:50000:SHA256&tab=0&lead=1"></script>
                                                        
Analytical ChatBot Embedding Code [Change the parameter "&tab=1"]
<script src="http://app.ragenaizer.com/systemjs/js/openchat.js?doc=tags-52881-1855&access=122...32:57..965:50000:SHA256&tab=1&lead=1"></script>
                                                        
Turning Off Messages [Change the parameter "&lead=0"]
<script src="http://app.ragenaizer.com/systemjs/js/openchat.js?doc=tags-52881-1855&access=122...32:57..965:50000:SHA256&tab=1&lead=0"></script>
                                                        

Sentiment Analysis

Gain deep insights into emotional patterns and customer feedback with advanced sentiment analysis capabilities.

Sentiment Detection

Analyze positive, negative, and neutral sentiments

Emotional Detection

Analyze emotions like Joy, Affection, Pride, Sadness, Anger along with confidence score

Visual Analytics

Interactive charts and trend analysis. This also generates Word Clouds from sentiment data

Easy Download

Download your data in excel format after analysis

Sentiment Analysis

Sentiment Analysis with Ragenaizer AI | Uncover Customer Insights

Theme Discovery & Coding

Automatically identify and analyze key themes from your documents.

Theme Generation

Theme Generation involves analyzing open-ended data to identify key themes and assess sentiments (positive, negative, or neutral) to gain insights into overall attitudes and perceptions.

Thematic Coding

Thematic coding involves generating themes from open-ended responses or reviews and calculating their percentage to identify dominant trends and insights

Key Benefits
  • 🔍 Automated Discovery
  • 📊 Frequency Analysis
  • 🔄 Theme Relationships
  • 🌐 Context-Aware Theme generation and coding
  • Download in Excel Format
Theme Discovery & Coding

Thematic Analysis with Ragenaizer AI | Discover Key Customer Trends

File Format for Sentiment Analysis and Theme Identification
  • Only MS Excel file is supported.

  • First column is for unique id for review text / open end verbatims.

  • Ensure only two columns are present in your file.

  • Second column is for review text / open end verbatims.

Data Analytics for Market Research

Overview

Transform your market research data into actionable insights with advanced analytics capabilities. Our platform eliminates the need for complex coding or syntax knowledge, allowing you to focus on discovering insights through natural language queries.

NLP Queries

Run analytical queries using natural language on SPSS data

Sentiment Analysis

Analyze emotions in open-ended responses

Key Features
  • 📊 Advanced Statistical Analysis
  • 🔍 Theme Generation
  • 📝 Thematic Coding
  • ☁️ Word Cloud Generation
Thematic Coding

Theme Generation and Thematic Coding analyze open-ended data to identify key themes, assess sentiments, and calculate theme percentages to uncover dominant trends and insights.

Support for Existing Cross-Tabs in Excel Format

If you have existing cross-tab output from Wincross or SPSS with each table in a separate sheet, simply use the Cross Tab Transformer from the top navigation menu. Upload your file, and Ragenaizer will convert it into a JSON format, which you can then download to your PC and upload for data analysis.

File Format for Data Analytics
  • Only SPSS (.sav) file is supported.

  • Turn on "Analytical Query" toggle button from settings before you write your analytical NLP query.

Advanced Statistical Features

Cross Tabulation Analysis
  • Dynamic cross-tabulation generation
  • Multiple variable analysis
  • Weighted and unweighted calculations
Statistical Testing
  • Z-Test (95% or 99% confidence levels)
  • Chi-Square Analysis
  • ANOVA and T-Tests

Natural Language Query Examples

Basic Analysis
  • "Show me age distribution"
  • "Create a frequency table for gender"
  • "What is the average satisfaction score?"
Advanced Analytics
  • "Run chi-square test on brand preference by gender"
  • "Calculate Top 2 Box scores for satisfaction ratings"
  • "Show trend analysis of brand performance"

Tutorial Videos

Getting Started Guide

Learn the basics of our platform and how to get started with data analytics.

Crosstab & Chi-Square Test

Crosstab & Chi-Square Test for Market Research Data | Ragenaizer AI Analysis

Compute Quartiles & IQR

Compute Quartiles & IQR for Market Research Data | Ragenaizer AI Analysis

Age & Gender Correlation

Market Research Survey Data Analysis | Age & Gender Correlation with Ragenaizer AI.

Resume Processing

Overview

Transform your uploaded candidate resumes into structured data and leverage AI-powered candidate evaluation capabilities. This system streamlines your recruitment process by automatically analyzing resumes and providing intelligent candidate recommendations.

Automatic Parsing

Smart resume structure detection and data extraction

Multi-Resume Comparison

Compare and rank multiple candidates

Key Features
  • 📄 Automatic Resume Parsing
  • 🔍 AI-Powered Evaluation
  • ⚖️ Candidate Comparison
  • 📊 Customizable Criteria

Candidate Evaluation Process

Basic Evaluation
  • Skills Match

    Automatic skill identification and matching

  • Experience Analysis

    Experience relevance and duration assessment

  • Education Verification

    Qualification and certification validation

Advanced Evaluation
  • Custom Requirements

    Define specific criteria and weightage

  • Importance Levels

    Assign priority to different criteria

  • Must-Have Qualifications

    Set mandatory requirements for screening

AI Query Examples

Sample Queries
  • "Show me the top 3 candidates with Java development experience"
  • "Which candidates have both cloud computing skills and agile certification?"
  • "Compare the work experience of selected candidates"
  • "Rank candidates based on leadership experience"
Best Practices
  • 📋 Use clear formatting
  • 🎯 Set specific criteria
  • 📊 Review rankings
  • 🔄 Update requirements

Tutorial Videos

Getting Started Guide

Automated CV Analysis for Recruitment | AI-Powered Screening with Ragenaizer

Hyper Vision

Advanced Video Calling with Real-Time AI Analytics

Hyper Vision is an AI-powered video calling platform that provides real-time facial analysis, sentiment tracking, and live transcription. It enables both team collaboration and guest interactions with advanced analytics capabilities.

Live Transcription

Real-time speech-to-text with speaker recognition

Face Tracking

Real-time facial analysis and expression detection

Key Features
  • 🎯 Real-time Analytics
  • 😊 Emotion Detection
  • 📝 Live Transcription
  • 👥 Team Collaboration

Call Types

Team Calls
Features
  • Full AI analytics suite
  • Screen sharing capabilities
  • Team member recognition
Guest Calls
Features
  • One-click guest access
  • Privacy controls for analytics
  • Interview mode support

Technical Requirements

System Requirements
  • • Modern web browser
  • • Stable internet connection
  • • Webcam support
  • • Microphone access
  • • HD camera (recommended)
  • • Quality audio equipment
Troubleshooting
  • 🔍 Check firewall settings
  • 📶 Verify internet connection
  • 🎤 Test audio equipment
  • 💡 Ensure proper lighting

Team Collaboration

Team Management

Enable seamless collaboration across your organization with comprehensive team management and project sharing capabilities.

Unlimited Sub-users

Create and manage team member accounts

Project Sharing

Share specific projects with team members

Key Features
  • 👥 Unlimited Sub-users
  • 🔐 Access Control
  • 📊 Usage Tracking
  • 📁 Project Management

User Management

Account Types
Main Account
  • Full administrative control
  • Sub-user creation rights
Sub-users
  • Project-specific access
  • Limited permissions
Access Control
  • Project-level Sharing

    Control access to specific projects

  • Document Access

    Manage document-level permissions

  • User Administration

    Manage user roles and permissions

Monitoring Features

Activity Tracking
  • • Track sub-user activity
  • • Monitor resource usage
  • • View shared project status
  • • Usage statistics
  • • Resource utilization
  • • Access logs
Best Practices
  • 🔒 Regular permission review
  • 📊 Monitor usage patterns
  • 👥 Clear role definitions
  • 📝 Document sharing policies

Technical

Data Visualization

Available Chart Types
  • 📊 Bar Charts
  • 📈 Line Charts
  • 🔄 Donut Charts
  • 📉 Column Charts
  • 🥧 Pie Charts
  • ☁️ Word Clouds
  • 📋 Interactive Tables
Best Practices
  • Clean data before analysis
  • Use appropriate sample sizes
  • Compare across time periods

Troubleshooting

Common Issues & Solutions
Document Processing

Issue: Processing errors

Solution: Check file format and size

Analysis Issues

Issue: Analysis delays

Solution: Optimize document size

Support Resources
  • 💬 Technical Support
  • 📚 Documentation
  • 🎓 Training Resources
  • 💡 Feature Requests