# Frequently Asked Questions (FAQ)

General Questions

#### What is AINexLayer? <a href="#what-is-ainexlayer" id="what-is-ainexlayer"></a>

AINexLayer is a comprehensive AI platform that transforms your documents and knowledge bases into intelligent, conversational AI systems. It provides Retrieval-Augmented Generation (RAG), AI agents, and multi-modal AI interactions with complete privacy and customization control.

#### Who is AINexLayer for? <a href="#who-is-ainexlayer-for" id="who-is-ainexlayer-for"></a>

AINexLayer is designed for:

* **Businesses**: Document processing, customer support, knowledge management
* **Developers**: Building AI-powered applications and workflows
* **Enterprises**: Large-scale document processing and AI automation
* **Individuals**: Personal document management and AI assistance

#### Is AINexLayer free? <a href="#is-ainexlayer-free" id="is-ainexlayer-free"></a>

AINexLayer offers multiple pricing tiers:

* **Community Edition**: Free for personal use
* **Professional**: Paid plans for businesses
* **Enterprise**: Custom pricing for large organizations

#### What makes AINexLayer different? <a href="#what-makes-ainexlayer-different" id="what-makes-ainexlayer-different"></a>

* **Privacy-First**: Complete local deployment with no data sharing
* **Model Agnostic**: Support for 50+ LLM providers
* **Enterprise Ready**: Multi-user support with granular permissions
* **Zero Setup**: One-click installation with intuitive interface
* **Extensible**: Full developer API and plugin ecosystem

### Installation & Setup <a href="#installation--setup" id="installation--setup"></a>

#### What are the system requirements? <a href="#what-are-the-system-requirements" id="what-are-the-system-requirements"></a>

**Minimum Requirements:**

* **OS**: Windows 10, macOS 10.15, Ubuntu 18.04+
* **RAM**: 8GB (16GB recommended)
* **Storage**: 10GB free space
* **CPU**: 4 cores (8 cores recommended)
* **Network**: Internet connection for model downloads

**Recommended for Production:**

* **RAM**: 32GB+
* **Storage**: 100GB+ SSD
* **CPU**: 8+ cores
* **GPU**: NVIDIA GPU with 8GB+ VRAM (optional)

#### How do I install AINexLayer? <a href="#how-do-i-install-ainexlayer" id="how-do-i-install-ainexlayer"></a>

The easiest way is using Docker:

```bash
# 1. Create project directory
mkdir ainexlayer && cd ainexlayer

# 2. Create docker-compose.yml
cat > docker-compose.yml << 'EOF'
name: ainexlayer
services:
  ainexlayer:
    container_name: ainexlayer
    image: alakinfotech/ainexlayer:latest
    ports:
      - "3000:3001"
    volumes:
      - "./storage:/app/server/storage"
    environment:
      - NODE_ENV=production
      - STORAGE_DIR=/app/server/storage
      - JWT_SECRET=your-super-secret-jwt-key
      - LLM_PROVIDER=openai
      - OPEN_AI_KEY=your-openai-api-key
      - VECTOR_DB=lancedb
      - MULTI_USER_MODE=false
EOF

# 3. Start AINexLayer
docker-compose up -d
```

#### Can I install without Docker? <a href="#can-i-install-without-docker" id="can-i-install-without-docker"></a>

Yes, you can install AINexLayer directly:

```bash
# Clone repository
git clone https://github.com/alakinfotech/ainexlayer.git
cd ainexlayer

# Install dependencies
yarn install

# Start services
yarn dev:all
```

#### What ports does AINexLayer use? <a href="#what-ports-does-ainexlayer-use" id="what-ports-does-ainexlayer-use"></a>

* **Frontend**: 3000 (default)
* **Backend API**: 3001 (default)
* **Collector Service**: 3002 (default)
* **Embed Service**: 3003 (default)

#### How do I configure environment variables? <a href="#how-do-i-configure-environment-variables" id="how-do-i-configure-environment-variables"></a>

Create a `.env` file in your project root:

```env
# Database
DATABASE_URL=mongodb://localhost:27017/ainexlayer

# JWT
JWT_SECRET=your-super-secret-jwt-key

# LLM Provider
LLM_PROVIDER=openai
OPEN_AI_KEY=your-openai-api-key

# Vector Database
VECTOR_DB=lancedb

# Storage
STORAGE_DIR=./storage

# Multi-user mode
MULTI_USER_MODE=false
```

### Document Processing <a href="#document-processing" id="document-processing"></a>

#### What file types are supported? <a href="#what-file-types-are-supported" id="what-file-types-are-supported"></a>

AINexLayer supports:

* **Documents**: PDF, DOC, DOCX, TXT, RTF
* **Spreadsheets**: XLS, XLSX, CSV
* **Presentations**: PPT, PPTX
* **Images**: PNG, JPG, JPEG, GIF, BMP
* **Web**: HTML, XML, JSON
* **Code**: JS, TS, PY, JAVA, CPP, etc.

#### What is the maximum file size? <a href="#what-is-the-maximum-file-size" id="what-is-the-maximum-file-size"></a>

* **Default**: 50MB per file
* **Configurable**: Up to 500MB (requires configuration)
* **Batch Upload**: No limit on total batch size

#### How long does document processing take? <a href="#how-long-does-document-processing-take" id="how-long-does-document-processing-take"></a>

Processing time depends on:

* **File Size**: Larger files take longer
* **File Type**: PDFs process faster than images
* **Content Complexity**: Text-heavy documents process faster
* **System Resources**: More RAM/CPU = faster processing

**Typical Processing Times:**

* **Small PDF (1-5MB)**: 30-60 seconds
* **Large PDF (50MB)**: 5-10 minutes
* **Image with OCR**: 2-5 minutes
* **Spreadsheet**: 1-3 minutes

#### Can I process documents in batch? <a href="#can-i-process-documents-in-batch" id="can-i-process-documents-in-batch"></a>

Yes, AINexLayer supports batch processing:

* **Drag & Drop**: Select multiple files
* **API**: Use batch upload endpoints
* **CLI**: Command-line batch processing
* **Scheduled**: Automated batch processing

#### What happens if processing fails? <a href="#what-happens-if-processing-fails" id="what-happens-if-processing-fails"></a>

* **Retry Logic**: Automatic retry with exponential backoff
* **Error Logging**: Detailed error logs for debugging
* **Manual Retry**: Retry failed documents manually
* **Support**: Contact support for persistent issues

### AI Models & Providers <a href="#ai-models--providers" id="ai-models--providers"></a>

#### Which AI models are supported? <a href="#which-ai-models-are-supported" id="which-ai-models-are-supported"></a>

AINexLayer supports 50+ models from various providers:

**OpenAI:**

* GPT-4, GPT-3.5-turbo, GPT-3.5-turbo-16k
* text-embedding-ada-002, text-embedding-3-small

**Anthropic:**

* Claude-3-opus, Claude-3-sonnet, Claude-3-haiku

**Google:**

* Gemini-pro, Gemini-pro-vision
* text-embedding-004

**Local Models:**

* Llama 2, Mistral, CodeLlama
* Ollama, LM Studio, GPT4All

#### How do I configure AI models? <a href="#how-do-i-configure-ai-models" id="how-do-i-configure-ai-models"></a>

1. **Go to Settings**: Navigate to AI Models section
2. **Select Provider**: Choose your preferred provider
3. **Enter API Key**: Add your API credentials
4. **Test Connection**: Verify the connection works
5. **Save Settings**: Apply the configuration

#### Can I use multiple AI models? <a href="#can-i-use-multiple-ai-models" id="can-i-use-multiple-ai-models"></a>

Yes, you can:

* **Switch Models**: Change models for different tasks
* **Model Comparison**: Compare responses from different models
* **Fallback Models**: Set backup models for reliability
* **Custom Models**: Use your own fine-tuned models

#### What are embedding models? <a href="#what-are-embedding-models" id="what-are-embedding-models"></a>

Embedding models convert text into numerical vectors for:

* **Semantic Search**: Find similar content
* **Document Clustering**: Group related documents
* **Recommendations**: Suggest relevant content
* **RAG**: Retrieve relevant context for AI responses

#### How do I choose the right model? <a href="#how-do-i-choose-the-right-model" id="how-do-i-choose-the-right-model"></a>

**For Text Generation:**

* **GPT-4**: Best quality, higher cost
* **GPT-3.5-turbo**: Good balance of quality and cost
* **Claude-3**: Excellent for analysis and reasoning

**For Embeddings:**

* **text-embedding-ada-002**: Good general-purpose
* **text-embedding-3-small**: Faster, lower cost
* **Local Models**: Privacy-focused, no API costs

### Workspaces & Organization <a href="#workspaces--organization" id="workspaces--organization"></a>

#### What are workspaces? <a href="#what-are-workspaces" id="what-are-workspaces"></a>

Workspaces are organized containers for:

* **Documents**: Group related documents
* **Conversations**: Organize chat sessions
* **Users**: Manage team access
* **Settings**: Workspace-specific configurations

#### How many workspaces can I create? <a href="#how-many-workspaces-can-i-create" id="how-many-workspaces-can-i-create"></a>

* **Free Plan**: 3 workspaces
* **Professional**: 50 workspaces
* **Enterprise**: Unlimited workspaces

#### Can I share workspaces? <a href="#can-i-share-workspaces" id="can-i-share-workspaces"></a>

Yes, you can:

* **Invite Users**: Add team members
* **Set Permissions**: Control access levels
* **Role Management**: Assign different roles
* **Public Workspaces**: Make workspaces public

#### How do I organize documents? <a href="#how-do-i-organize-documents" id="how-do-i-organize-documents"></a>

* **Folders**: Create folder structures
* **Tags**: Add tags for categorization
* **Search**: Use advanced search features
* **Filters**: Filter by type, date, status
* **Collections**: Group related documents

### Chat & Conversations <a href="#chat--conversations" id="chat--conversations"></a>

#### How does the chat interface work? <a href="#how-does-the-chat-interface-work" id="how-does-the-chat-interface-work"></a>

The chat interface provides:

* **Natural Language**: Ask questions in plain English
* **Context Awareness**: Understands your documents
* **Source Citations**: Shows where answers come from
* **Follow-up Questions**: Maintains conversation context
* **Export Options**: Save conversations

#### Can I chat with specific documents? <a href="#can-i-chat-with-specific-documents" id="can-i-chat-with-specific-documents"></a>

Yes, you can:

* **Document Chat**: Chat with individual documents
* **Workspace Chat**: Chat with all workspace documents
* **Collection Chat**: Chat with document collections
* **Custom Context**: Set specific document context

#### How accurate are the AI responses? <a href="#how-accurate-are-the-ai-responses" id="how-accurate-are-the-ai-responses"></a>

Accuracy depends on:

* **Document Quality**: Well-structured documents
* **Model Choice**: Higher-quality models
* **Context Relevance**: Relevant document context
* **Question Clarity**: Clear, specific questions

**Typical Accuracy:**

* **Factual Questions**: 85-95%
* **Analysis Questions**: 80-90%
* **Creative Tasks**: 70-85%

#### Can I customize AI responses? <a href="#can-i-customize-ai-responses" id="can-i-customize-ai-responses"></a>

Yes, you can:

* **System Prompts**: Customize AI behavior
* **Response Templates**: Predefined response formats
* **Tone Settings**: Adjust response tone
* **Length Control**: Set response length limits
* **Custom Instructions**: Add specific guidelines

### Security & Privacy <a href="#security--privacy" id="security--privacy"></a>

#### Is my data secure? <a href="#is-my-data-secure" id="is-my-data-secure"></a>

Yes, AINexLayer provides:

* **Local Deployment**: Data stays on your servers
* **Encryption**: Data encrypted at rest and in transit
* **Access Control**: Granular permissions
* **Audit Logs**: Track all activities
* **Compliance**: GDPR, HIPAA, SOC2 ready

#### Can I use AINexLayer offline? <a href="#can-i-use-ainexlayer-offline" id="can-i-use-ainexlayer-offline"></a>

Yes, with local models:

* **Local LLMs**: Use Ollama, LM Studio
* **Local Embeddings**: Run embedding models locally
* **Air-gapped**: Complete offline deployment
* **Hybrid**: Mix of local and cloud models

#### How is user data handled? <a href="#how-is-user-data-handled" id="how-is-user-data-handled"></a>

* **No Data Sharing**: We don't share your data
* **Data Ownership**: You own your data
* **Data Export**: Export all your data
* **Data Deletion**: Delete data when requested
* **Privacy by Design**: Built with privacy in mind

#### What about API security? <a href="#what-about-api-security" id="what-about-api-security"></a>

* **Authentication**: JWT-based authentication
* **Rate Limiting**: Prevent abuse
* **Input Validation**: Sanitize all inputs
* **HTTPS**: Encrypted connections
* **API Keys**: Secure key management

### Performance & Scalability <a href="#performance--scalability" id="performance--scalability"></a>

#### How many documents can AINexLayer handle? <a href="#how-many-documents-can-ainexlayer-handle" id="how-many-documents-can-ainexlayer-handle"></a>

* **Small Deployment**: 1,000-10,000 documents
* **Medium Deployment**: 10,000-100,000 documents
* **Large Deployment**: 100,000+ documents
* **Enterprise**: Millions of documents

#### What affects performance? <a href="#what-affects-performance" id="what-affects-performance"></a>

* **Hardware**: RAM, CPU, storage speed
* **Document Size**: Larger documents = slower processing
* **Model Choice**: Local vs cloud models
* **Concurrent Users**: More users = more resources needed
* **Network**: Internet speed for cloud models

#### How do I optimize performance? <a href="#how-do-i-optimize-performance" id="how-do-i-optimize-performance"></a>

* **Hardware**: Use SSDs, more RAM
* **Caching**: Enable Redis caching
* **Indexing**: Optimize vector indexes
* **Batch Processing**: Process documents in batches
* **Load Balancing**: Distribute load across servers

#### Can I scale AINexLayer? <a href="#can-i-scale-ainexlayer" id="can-i-scale-ainexlayer"></a>

Yes, you can:

* **Horizontal Scaling**: Add more servers
* **Vertical Scaling**: Upgrade hardware
* **Microservices**: Deploy as microservices
* **Cloud Deployment**: Use cloud infrastructure
* **Load Balancing**: Distribute traffic

### Troubleshooting <a href="#troubleshooting" id="troubleshooting"></a>

#### Why is document processing slow? <a href="#why-is-document-processing-slow" id="why-is-document-processing-slow"></a>

Common causes:

* **Insufficient RAM**: Add more memory
* **CPU Bottleneck**: Use faster CPU
* **Storage Speed**: Use SSDs
* **Network Issues**: Check internet connection
* **Model Loading**: Local models take time to load

#### Why are AI responses inaccurate? <a href="#why-are-ai-responses-inaccurate" id="why-are-ai-responses-inaccurate"></a>

Possible reasons:

* **Poor Document Quality**: Improve document structure
* **Insufficient Context**: Add more relevant documents
* **Wrong Model**: Try different AI models
* **Vague Questions**: Ask more specific questions
* **Outdated Information**: Update your documents

#### Why can't I upload files? <a href="#why-cant-i-upload-files" id="why-cant-i-upload-files"></a>

Check these:

* **File Size**: Ensure file is under 50MB
* **File Type**: Verify file type is supported
* **Storage Space**: Check available disk space
* **Permissions**: Verify file permissions
* **Network**: Check internet connection

#### Why is the interface slow? <a href="#why-is-the-interface-slow" id="why-is-the-interface-slow"></a>

Common causes:

* **Browser Issues**: Clear cache, update browser
* **Network Problems**: Check internet speed
* **Server Load**: High server utilization
* **Database Issues**: Database performance problems
* **Memory Leaks**: Restart the application

### Billing & Pricing <a href="#billing--pricing" id="billing--pricing"></a>

#### How does pricing work? <a href="#how-does-pricing-work" id="how-does-pricing-work"></a>

* **Subscription**: Monthly or annual billing
* **Usage-based**: Pay for what you use
* **Enterprise**: Custom pricing
* **Free Trial**: 30-day free trial

#### What's included in each plan? <a href="#whats-included-in-each-plan" id="whats-included-in-each-plan"></a>

**Community (Free):**

* 3 workspaces
* 1,000 documents
* Basic AI models
* Community support

**Professional ($99/month):**

* 50 workspaces
* 100,000 documents
* All AI models
* Priority support
* API access

**Enterprise (Custom):**

* Unlimited workspaces
* Unlimited documents
* Custom models
* 24/7 support
* SLA guarantees

#### Can I change plans? <a href="#can-i-change-plans" id="can-i-change-plans"></a>

Yes, you can:

* **Upgrade**: Move to higher plan
* **Downgrade**: Move to lower plan
* **Cancel**: Cancel anytime
* **Pause**: Pause subscription
* **Resume**: Resume when ready

#### Do you offer refunds? <a href="#do-you-offer-refunds" id="do-you-offer-refunds"></a>

* **30-day Money Back**: Full refund within 30 days
* **Pro-rated Refunds**: Refund unused portion
* **Annual Plans**: Refund remaining months
* **Enterprise**: Custom refund policy

### Integration & API <a href="#integration--api" id="integration--api"></a>

#### What APIs are available? <a href="#what-apis-are-available" id="what-apis-are-available"></a>

AINexLayer provides:

* **REST API**: Full platform access
* **GraphQL API**: Flexible data queries
* **Webhooks**: Real-time notifications
* **SDKs**: Python, JavaScript, Java
* **CLI**: Command-line interface

#### Can I integrate with other tools? <a href="#can-i-integrate-with-other-tools" id="can-i-integrate-with-other-tools"></a>

Yes, AINexLayer integrates with:

* **CRM Systems**: Salesforce, HubSpot
* **Productivity**: Slack, Microsoft Teams
* **Storage**: Google Drive, Dropbox
* **Databases**: PostgreSQL, MongoDB
* **Workflows**: Zapier, n8n

#### How do I use the API? <a href="#how-do-i-use-the-api" id="how-do-i-use-the-api"></a>

1. **Get API Key**: Generate API key in settings
2. **Read Documentation**: Review API docs
3. **Make Requests**: Use HTTP client
4. **Handle Responses**: Process API responses
5. **Error Handling**: Handle errors gracefully

#### Is there rate limiting? <a href="#is-there-rate-limiting" id="is-there-rate-limiting"></a>

Yes, API has rate limits:

* **Free Plan**: 100 requests/hour
* **Professional**: 1,000 requests/hour
* **Enterprise**: Custom limits
* **Burst Limits**: Temporary higher limits

***

**❓ Can't find your question? Check our** [**Contact Support**](https://file+.vscode-resource.vscode-cdn.net/Users/revanth/Projectes/AIT-Projects/NexLayer/docs/support/contact-support.md) **page or** [**Community Forum**](https://community.ainexlayer.com/) **for more help.**<br>


---

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