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:
Can I install without Docker?
Yes, you can install AINexLayer directly:
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:
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?
Go to Settings: Navigate to AI Models section
Select Provider: Choose your preferred provider
Enter API Key: Add your API credentials
Test Connection: Verify the connection works
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?
Get API Key: Generate API key in settings
Read Documentation: Review API docs
Make Requests: Use HTTP client
Handle Responses: Process API responses
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.
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