First Steps
Welcome to AINexLayer! This guide will walk you through your first interactions with the platform and help you understand the core concepts.
Understanding AINexLayer
AINexLayer transforms your documents into an intelligent, conversational AI system. Think of it as your personal ChatGPT that knows everything about your specific documents and content.
Key Concepts
Workspaces: Organized containers for your documents and conversations
Documents: Files you upload that become part of your AI's knowledge base
Chats: Conversations where you ask questions about your documents
AI Models: The language models that power the responses
Step 1: Access Your Instance
Open your web browser
Navigate to your AINexLayer instance:
Docker deployment: http://localhost:3000
Cloud deployment: Your custom domain

Step 2: Create Your First Workspace
What is a Workspace?
A workspace is like a folder that contains related documents and conversations. You can create multiple workspaces for different projects, departments, or use cases.
Creating a Workspace
Click "Create Workspace" on the dashboard
Enter a name (e.g., "My First Workspace")
Choose an AI model:
GPT-3.5 Turbo: Fast and cost-effective
GPT-4: More capable but slower
Claude 3: Alternative with different strengths
Click "Create"

Workspace Settings
Name: Change the workspace name anytime
AI Model: Switch between different models
System Prompt: Customize how the AI behaves
Temperature: Control creativity vs. consistency
Step 3: Upload Your First Documents
Supported File Types
PDF: Documents, reports, manuals
TXT: Plain text files
DOCX: Microsoft Word documents
MD: Markdown files
HTML: Web pages
Images: OCR-enabled text extraction
Upload Process
In your workspace, click "Upload"
Drag and drop files or click to browse
Wait for processing to complete
Documents will appear in the workspace
Document Processing
Text Extraction: Content is extracted from files
Chunking: Documents are split into manageable pieces
Embedding: Text is converted to vectors for search
Indexing: Content becomes searchable

Step 4: Start Your First Chat
Accessing Chat
Click "Chat" in your workspace
The chat interface will open
You'll see a message input at the bottom
Your First Questions
Try asking questions about your uploaded documents:
General Questions:
"What is this document about?"
"Summarize the main points"
"What are the key findings?"
Specific Questions:
"What does the document say about [topic]?"
"Find information about [specific item]"
"Explain [concept] in simple terms"
Analysis Questions:
"Compare the different sections"
"What are the pros and cons mentioned?"
"What recommendations are made?"
Chat Features
Context Awareness: AI remembers your conversation
Source Citations: See which documents provided answers
Follow-up Questions: Ask for clarification or more details
Export Chat: Save conversations for later reference

Step 5: Explore Advanced Features
Document Management
View Documents: Browse uploaded files
Search Content: Find specific information across documents
Delete Documents: Remove files you no longer need
Re-upload: Update documents with new versions
Chat Customization
System Prompts: Customize AI behavior
Temperature Settings: Adjust response creativity
Model Switching: Try different AI models
Chat History: Review past conversations
Workspace Organization
Multiple Workspaces: Create separate spaces for different projects
Workspace Settings: Configure each workspace independently
Document Sharing: Move documents between workspaces
Workspace Templates: Save common configurations
Step 6: Understanding AI Responses
How AINexLayer Works
Question Analysis: Your question is analyzed
Document Search: Relevant content is found
Context Building: Information is gathered
Response Generation: AI creates an answer
Source Attribution: Shows which documents were used
Response Quality
Accuracy: Based on your specific documents
Relevance: Focused on your question
Completeness: Comprehensive answers
Citations: Shows source documents
Improving Responses
Be Specific: Ask detailed questions
Provide Context: Give background information
Ask Follow-ups: Request clarification or examples
Refine Questions: Rephrase if needed
Step 7: Best Practices
Document Organization
Logical Grouping: Put related documents in the same workspace
Clear Naming: Use descriptive workspace and document names
Regular Updates: Keep documents current
Quality Content: Upload well-formatted documents
Question Asking
Be Specific: Ask targeted questions
Use Context: Reference previous parts of the conversation
Ask for Examples: Request specific instances
Request Summaries: Get overviews of complex topics
Workspace Management
Purpose-Driven: Create workspaces for specific goals
Regular Cleanup: Remove outdated documents
Backup Important: Export valuable conversations
Share Knowledge: Collaborate with team members
Common Use Cases
Personal Knowledge Management
Research Papers: Upload academic papers for analysis
Personal Notes: Organize your thoughts and ideas
Learning Materials: Study guides and textbooks
Project Documentation: Keep project information organized
Business Applications
Company Policies: HR and operational documents
Product Documentation: User manuals and guides
Meeting Notes: Summarize and analyze discussions
Customer Support: Knowledge base for help desk
Educational Use
Course Materials: Organize learning content
Student Submissions: Review and provide feedback
Research Projects: Analyze academic sources
Study Groups: Collaborative learning
Troubleshooting Common Issues
Upload Problems
File Size: Check file size limits
Format Support: Ensure file type is supported
Processing Time: Large files may take longer
Error Messages: Check for specific error details
Chat Issues
No Responses: Verify documents are processed
Inaccurate Answers: Check document quality
Slow Responses: Consider model selection
Context Loss: Restart conversation if needed
Performance Issues
Slow Loading: Check system resources
Memory Usage: Monitor RAM consumption
Storage Space: Ensure adequate disk space
Network Issues: Verify internet connection
🎉 Congratulations! You've taken your first steps with AINexLayer. You're now ready to explore the full power of document intelligence and AI-driven knowledge management.
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