Glossary

The Glossary feature systematically manages domain-specific terms, abbreviations, and business rules used within your organization. It enables AI to accurately understand company-specific terminology and provide consistent answers.

What is a Glossary?

A glossary stores domain-specific terms and their definitions, and the system references them automatically during AI conversations.

Why You Need a Glossary

Problem	After Using a Glossary
”What’s MRR?” → AI doesn’t know	”MRR is Monthly Recurring Revenue”
Different teams use different terms	Standardized terms and definitions
New employee onboarding is hard	Instant term lookup
Inconsistent AI answers	Consistent answers based on defined terms

Key Features

Feature	Description
Term definition	Clear definitions and usage examples
Synonym support	Multiple expressions linked to a single term
Category classification	Group terms by domain for organized management
DB value extraction	Auto-convert DB column values into terms
Auto search	AI auto-references related terms when asked
Search engine sync	Index terms in the search engine for fast lookup

Glossary List

In Workspace > Glossary, view all glossaries. The list shows name, description, author, and modified date.

Creating a Glossary

Create a new glossary

In Workspace > Glossary, click the + button at the top-right.

Field	Description	Example
Name	Glossary name	”Marketing Glossary”
Description	Glossary description	”Marketing team terminology and KPI definitions”

Set access permissions

Set the sharing scope for the glossary.

Option	Description
Public	Available to all users
Private	Available only to selected groups or organizational units. If unspecified, only the creator can access

Save

Click Save to create the glossary.

Adding Terms

Adding a Single Term

In the left panel of the glossary detail page, enter term info and click “Add”.

Field	Description	Example
Term	Term to define	MRR
Synonyms	Other expressions (comma-separated)	Monthly Recurring Revenue
Description	Term description	Recurring subscription revenue generated each month
Example	Real usage example	”This month’s MRR is ₩1B”
Category	Group the term (optional)	Revenue Metrics

When entering a category, existing categories appear as tag chips. Click to select one, or type a new category name directly.

Example of a Good Description

## MRR (Monthly Recurring Revenue)

### Description
Refers to the recurring subscription-based revenue generated each month.
Net recurring revenue reflecting new contracts, upgrades, downgrades, and churn.

### Calculation
MRR = Monthly subscription fee x Active subscribers

### Related Metrics
- ARR (Annual Recurring Revenue) = MRR x 12
- Net MRR = New MRR + Expansion MRR - Contraction MRR - Churn MRR

### Examples
- "MRR grew 5% MoM this month"
- "MRR increased ₩200M from new customer acquisition"

Keep the description to 1-2 sentences for the core, and include examples and related terms so the AI references it more accurately.

Bulk Import

Import multiple terms at once via a JSON file.

[
  {
    "term": "MRR",
    "synonyms": ["Monthly Recurring Revenue"],
    "description": "Recurring subscription revenue generated each month",
    "example": "This month's MRR is ₩1B"
  },
  {
    "term": "CAC",
    "synonyms": ["Customer Acquisition Cost"],
    "description": "Cost of acquiring a new customer",
    "example": "Marketing optimization reduced CAC by 20%"
  }
]

Re-importing an existing term (by name, case-insensitive) updates the existing term. No duplicates are created.

Term Management

Search and Filter

Search: Search by term, synonym, or description content in the search bar
Category filter: Click category chips at the top to show terms by category — “All” / “Uncategorized” / per-category filter
Sort: By name (default), newest, oldest
The term list uses infinite scroll (50 entries at a time)

Edit and Delete

Click a term to edit its content or delete it. Scroll position is preserved during edit/delete, and changes auto-sync with the search index.

Export

Export all terms as a JSON file. Use for backup, team sharing, or migration to another environment.

Sync and Reindex

Adding/editing/deleting terms auto-syncs to the search index. If the search index becomes broken, manual reindex is possible:

Click the kebab menu (⋮) → Reindex on the glossary card in the list
Re-pushes all terms to the search engine

Sync only works when a search engine is configured. Without a search engine, sync is ignored.

Category Management

Categories let you systematically classify terms by domain.

Category Management Screen

Click the gear icon to the right of the category filter on the detail page to open the category management modal.

Action	Method
Rename	Hover over category → pencil icon → edit inline → Enter or Save
Delete	Hover over category → delete icon

Deleting a category also deletes all terms in that category. Confirm carefully before deleting.

Categories and the Knowledge Graph

When extraction sources are configured for a category, Knowledge Graph sync auto-generates maps_to edges from the category to DB columns. This lets the agent map business terms to actual data columns.

DB Value Extraction

This feature auto-converts distinct DB column values into glossary terms. Instead of manually entering hundreds or thousands of data values, build the glossary quickly by extracting directly from the DB.

Extraction Flow

Run Extraction

Start extraction

Click “Extract from database” at the top-right of the glossary detail page

Configure extraction

Field	Description	Required
Database	DbSphere connection to extract from	O
Table	Target table	O
Term column	Column to extract DISTINCT values from	O
Category	Category to assign to extracted terms	O
Synonym column	Column to read as synonyms	X
Description column	Column to read as descriptions	X
Reference columns	Additional columns to pass as LLM context	X

Category is required. It must be specified to track extraction sources and auto-generate mapping edges in the Knowledge Graph.

LLM enrichment settings (optional)

Toggle on LLM enrichment to auto-generate synonyms, descriptions, and examples for each value.

Option	Description
Synonyms	Auto-generate synonyms
Description	Auto-generate descriptions
Example	Auto-generate examples
Model	LLM model to use
Batch size	Items processed per batch (default 10)

Checking each item (Synonyms / Description / Example) reveals per-item instruction fields. Provide different domain/tone/length guidance per item.

Examples:

Synonyms instruction: “Prioritize internal abbreviations and English acronyms”
Description instruction: “One sentence, understandable by non-technical readers”
Example instruction: “Format usable in finance team reports”

If empty, the system default prompt is used (same as before).

If you’ve specified synonym/description columns from the DB, LLM generation for those items is auto-disabled.

Run

Click “Extract” → Confirm the count of values found → Click OKExtraction runs in the background with a progress banner at the top. Identical terms already in the glossary are auto-skipped.

Inline Review

Once extraction completes, new term candidates appear at the top of the list with a green background + “NEW” badge. Extraction review

Review methods:

Method	Description
Per-item review	Click a term → Accept / Edit / Reject
Bulk accept	Click “Add all” in the top banner → accept everything
Bulk reject	Click “Exclude all” in the top banner → discard everything

Use the “New” tab filter to view only extracted candidates.

Using a Glossary

Connect to an Agent

Open the agent edit screen

In Workspace > Agents, open the target agent’s edit screen.

Pick glossaries

In the Glossary section, choose the glossaries to connect. You can connect multiple glossaries to one agent.

Save

Save the agent settings.

Auto-reference in Chat

When you chat with an agent that has glossaries connected, the AI auto-recognizes related terms and references their definitions.

User: What's MRR?

AI: MRR (Monthly Recurring Revenue) refers to monthly recurring revenue.

Description:
Recurring subscription-based revenue generated each month.
Net recurring revenue reflecting new contracts, upgrades, downgrades, and churn.

Calculation:
MRR = Monthly subscription fee x Active subscribers

Related Metrics:
- ARR (Annual Recurring Revenue) = MRR x 12
- Net MRR Growth: Net MRR growth rate

[Source: Marketing Glossary]

The AI auto-recognizes terms in the conversation without you asking explicitly.

User: What's a healthy LTV-to-CAC ratio?

AI: Generally, an LTV/CAC ratio of 3:1 or higher is considered healthy.

Term definitions:
- CAC (Customer Acquisition Cost): Cost of acquiring a customer
- LTV (Customer Lifetime Value): Lifetime value of a customer

Glossary Examples

Marketing
IT
Finance
HR

Term	Synonyms	Description
MRR	Monthly Recurring Revenue	Monthly recurring revenue
CAC	Customer Acquisition Cost	Cost to acquire a new customer
LTV	Customer Lifetime Value, CLV	Value a customer brings over their lifetime
ARPU	Average Revenue Per User	Average revenue per user
Churn Rate	—	Customer churn percentage
NPS	Net Promoter Score	Customer recommendation indicator

Term	Synonyms	Description
API	—	Application Programming Interface
CI/CD	—	Continuous Integration / Continuous Delivery
SLA	Service Level Agreement	Service quality guarantee contract
MSA	Microservices	Microservices Architecture
K8s	Kubernetes	Container orchestration platform

Term	Synonyms	Description
EBITDA	—	Earnings Before Interest, Taxes, Depreciation, and Amortization
ROI	Return on Investment	Return ratio relative to investment
P&L	Profit and Loss	Statement of revenue and expenses
CAPEX	Capital Expenditure	Capital expenditures
OPEX	Operating Expenses	Operating expenses

Term	Synonyms	Description
OKR	Objectives and Key Results	Goals and key result metrics
KPI	Key Performance Indicator	Key performance indicator
1:1	One-on-One	Regular check-in with manager
PIP	Performance Improvement Plan	Performance improvement program

Best Practices

Writing term descriptions

Be concise: Core explanation in 1–2 sentences
Include examples: Add real usage examples
Link related terms: Explain related concepts together
Keep current: Update immediately when descriptions change

Synonym management

Register the various commonly used expressions
Include both English and Korean spellings
Register both abbreviation and full name
Example: MRR, Monthly Recurring Revenue

Glossary composition

Separate by domain: Run separate glossaries for marketing, IT, finance, HR, etc.
Set access permissions: Expose only the glossaries each department needs
Periodic review: Quarterly term updates and cleanup of unused terms

FAQ

Can the AI understand terminology without a glossary?

The AI understands common terminology, but may not accurately know company-specific terms (internal project codes, internal metric names) or recent domain-specific terms. Use a glossary to provide accurate descriptions to the AI.

Can I connect multiple glossaries to one agent?

Yes — connect multiple glossaries to a single agent. Connecting a marketing + finance glossary together lets the agent reference terms from both domains.

What's the difference between a Knowledge Base and a glossary?

Knowledge Base: Stores entire document content and finds related content via vector search (RAG)
Glossary: Stores only individual terms and definitions for fast reference

Use Knowledge Bases for document-based Q&A and glossaries for term reference.

How many synonyms can I register?

No limit. The more expressions you register, the better the AI recognizes terms.

I'm worried about LLM costs for DB value extraction

Turn off LLM enrichment to extract only DB values without LLM cost. If synonym/description columns are already in the DB, specifying those columns is the most economical.

What's the relationship between glossary and Knowledge Graph?

The glossary manages term definitions, while the Knowledge Graph connects terms to DB columns and documents. When extraction sources are configured on a category, the KG auto-generates term-to-column mapping edges.

Next Steps

Connect to an Agent

Connect a glossary to an agent to improve AI answer quality

Knowledge Graph

Connect glossary + DB + documents into one unified graph

Database

Connect a database as the source for DB value extraction

Workspace

AI Agents

Knowledge & Data

Safety

Customization

What is a Glossary?

Why You Need a Glossary

Key Features

Glossary List

Creating a Glossary

Adding Terms

Adding a Single Term

Example of a Good Description

Bulk Import

Term Management

Search and Filter

Edit and Delete

Export

Sync and Reindex

Category Management

Category Management Screen

Categories and the Knowledge Graph

DB Value Extraction

Extraction Flow

Run Extraction

Inline Review

Using a Glossary

Connect to an Agent

Auto-reference in Chat

Glossary Examples

Best Practices

FAQ

Next Steps

Connect to an Agent

Knowledge Graph

Database

Workspace

AI Agents

Knowledge & Data

Safety

Customization

​What is a Glossary?

​Why You Need a Glossary

​Key Features

​Glossary List

​Creating a Glossary

​Adding Terms

​Adding a Single Term

​Example of a Good Description

​Bulk Import

​Term Management

​Search and Filter

​Edit and Delete

​Export

​Sync and Reindex

​Category Management

​Category Management Screen

​Categories and the Knowledge Graph

​DB Value Extraction

​Extraction Flow

​Run Extraction

​Inline Review

​Using a Glossary

​Connect to an Agent

​Auto-reference in Chat

​Glossary Examples

​Best Practices

​FAQ

​Next Steps

Connect to an Agent

Knowledge Graph

Database

What is a Glossary?

Why You Need a Glossary

Key Features

Glossary List

Creating a Glossary

Adding Terms

Adding a Single Term

Example of a Good Description

Bulk Import

Term Management

Search and Filter

Edit and Delete

Export

Sync and Reindex

Category Management

Category Management Screen

Categories and the Knowledge Graph

DB Value Extraction

Extraction Flow

Run Extraction

Inline Review

Using a Glossary

Connect to an Agent

Auto-reference in Chat

Glossary Examples

Best Practices

FAQ

Next Steps