Chat Indexing Guide

Transform your valuable AI conversations into permanent, searchable knowledge base documents. This guide shows you how to preserve important discussions and make them discoverable for your entire team.

What is Chat Indexing?

Chat indexing allows you to convert AI conversations into structured documents that become part of your searchable knowledge base. Once indexed, conversations are:

• Fully searchable with semantic search capabilities
• Embedded with vectors for intelligent content retrieval
• Integrated with RAG for future AI conversations
• Preserved permanently with complete conversation context

When to Index Conversations

Consider indexing conversations that contain:

✅ Problem-solving sessions with clear solutions ✅ Step-by-step tutorials discovered through AI assistance ✅ Important decisions or policy discussions ✅ Troubleshooting workflows that others might need ✅ Complex explanations of technical concepts ✅ Research findings and analysis results

❌ Avoid indexing conversations that are:

• Exploratory or incomplete
• Personal or sensitive
• Duplicate of existing documentation
• Simple questions with brief answers

Step-by-Step Indexing Process

Step 1: Navigate to Chat History

1. Open your organization's chat interface
2. Click the chat history sidebar button (if not already visible)
3. Browse your conversation list to find the chat you want to index

Step 2: Access Conversation Actions

1. Locate the conversation in your chat history
2. Hover over the conversation to reveal the actions menu
3. Click the three dots (⋯) next to the conversation title

Step 3: Index the Conversation

1. Select "Index as Document" from the dropdown menu
2. Wait for the indexing process to begin (loading indicator will appear)
3. You'll see a success notification when indexing starts
4. The conversation will be processed in the background

Step 4: Verify Processing

1. Navigate to your Documents section
2. Look for the new document with your conversation title
3. The document will show "Processing" status initially
4. Once complete, status changes to "Ready" and becomes fully searchable

What Gets Preserved

When you index a conversation, KnowSync captures:

Message Content

• Complete conversation flow in chronological order
• User questions and AI responses
• Conversation context and follow-up discussions

AI Context

• Reasoning processes and thought chains
• Tool calls and function executions
• Source citations from referenced documents
• Model information and processing metadata

Metadata

• Conversation title and creation timestamp
• Message count and token usage statistics
• Participants and conversation duration
• Source URL linking back to original chat

Managing Indexed Conversations

Organization Strategies

Use Collections:

• Group related conversations by project or topic
• Create collections like "Troubleshooting", "Product Planning", or "Technical Discussions"
• Assign conversations to collections during or after indexing

Apply Tags:

• Add custom tags beyond the automatic ones
• Use consistent tagging schemes across your team
• Examples: urgent, solution, reference, decision

Naming Conventions:

• Use descriptive conversation titles before indexing
• Include key topics or outcomes in the title
• Consider prefixes like "SOLVED:" or "GUIDE:" for clarity

Plan Considerations

Chat documents count toward your knowledge base limits:

| Plan | Document Limit | Recommendation | |------|----------------|----------------| | Free | 5 documents | Index only your most valuable conversations | | Starter | 25 documents | Balance between chats and uploaded documents | | Professional | Unlimited | Index freely without worry | | Enterprise | Unlimited | Use extensively for team knowledge sharing |

Maintenance Best Practices

Regular Review:

• Monthly review of indexed conversations for relevance
• Archive or delete outdated discussions
• Update tags and collections as your knowledge base grows

Quality Control:

• Ensure conversation titles are descriptive
• Verify that indexed content is actually useful
• Remove duplicate or low-value conversations

Team Guidelines:

• Establish team standards for what gets indexed
• Create shared collections for different departments
• Train team members on effective indexing practices

Searching Indexed Conversations

Search Methods

Semantic Search:

• Use natural language queries
• Example: "How do we handle payment failures?"
• AI understands context and finds relevant conversations

Filtered Search:

• Filter by source type: "Chat Export"
• Filter by tags: "conversation", "export"
• Filter by date range or collection

Citation in AI Responses:

• Future AI conversations can reference indexed chats
• AI will cite specific conversations when relevant
• Creates a feedback loop of improving knowledge

Search Tips

1. Use conversation context: Search for the problem or solution discussed
2. Search by outcome: Look for "solved X problem" or "how to Y"
3. Reference participants: Include names if relevant to the discussion
4. Time-based queries: "Recent conversations about deployment"

Troubleshooting

Common Issues

"Reached knowledge base limit" error:

• Check your plan's document limit
• Delete unused documents or upgrade your plan
• Prioritize your most valuable conversations

Conversation not processing:

• Large conversations may take several minutes
• Check the Documents section for processing status
• Contact support if processing fails repeatedly

Can't find indexed conversation:

• Verify the conversation was successfully indexed
• Check your search filters and scope
• Look in the correct organization/collection

Best Practices for Success

1. Descriptive Titles: Use clear, searchable conversation titles
2. Strategic Selection: Index conversations with lasting value
3. Regular Maintenance: Review and organize indexed content
4. Team Training: Ensure all team members understand the feature
5. Integration: Use indexed conversations to improve future AI interactions

Getting Help

Need assistance with chat indexing?

• Documentation: Refer to our AI Features guide for advanced chat capabilities
• Support: Contact our support team through the help widget
• Community: Join our Discord server for tips and best practices
• Training: Request team training sessions for Professional+ plans

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Ready to start preserving your valuable conversations? Head to your chat interface and try indexing your first conversation!