Frequently Asked Questions (FAQ)

Common questions and answers about AINexLayer. Find quick answers to the most frequently asked questions.

General Questions

What is AINexLayer?

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?

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?

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?

• 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

What are the system requirements?

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?

The easiest way is using Docker:

# 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?

Yes, you can install AINexLayer directly:

# 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?

• Frontend: 3000 (default)

• Backend API: 3001 (default)

• Collector Service: 3002 (default)

• Embed Service: 3003 (default)

How do I configure environment variables?

Create a .env file in your project root:

# 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

What file types are supported?

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?

• Default: 50MB per file

• Configurable: Up to 500MB (requires configuration)

• Batch Upload: No limit on total batch size

How long does document processing take?

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?

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?

• 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

Which AI models are supported?

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?

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?

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?

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?

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

What are workspaces?

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?

• Free Plan: 3 workspaces

• Professional: 50 workspaces

• Enterprise: Unlimited workspaces

Can I share workspaces?

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?

• 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

How does the chat interface work?

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?

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?

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?

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

Is my data secure?

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?

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?

• 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?

• Authentication: JWT-based authentication

• Rate Limiting: Prevent abuse

• Input Validation: Sanitize all inputs

• HTTPS: Encrypted connections

• API Keys: Secure key management

Performance & Scalability

How many documents can AINexLayer handle?

• 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?

• 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?

• 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?

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

Why is document processing slow?

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?

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?

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?

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

How does pricing work?

• 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?

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?

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?

• 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

What APIs are available?

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?

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?

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?

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 page or Community Forum for more help.