# Glossary

# Glossary

# AI search

Vector/embedding-based retrieval that finds results by semantic similarity rather than exact keywords.

# Alias

An alternate string representation for a node (e.g., punctuation variants or abbreviations) used to improve matching and linking.

# Chunking

Splitting long text into smaller pieces so embeddings and NLP can process it effectively without losing important content.

# Connector

A code-driven ingestion component that reads data from external sources and maps it into node/edge schemas in a Curiosity Workspace.

# Edge

A relationship between two nodes in the graph (e.g., Case -> ForDevice -> Device).

# Embedding

A vector representation of text (or other content) used for semantic similarity and vector search.

# Endpoint

A server-side function hosted inside a workspace. Endpoints implement business logic, orchestration, and custom APIs.

# Facet

A filter dimension presented to users (e.g., Status=Open, Type=SupportCase). Facets can be property-based or derived from graph relationships.

# Graph

A labeled property graph of nodes and edges representing entities and their relationships.

# Hybrid search

Retrieval strategy that combines keyword search and vector search to improve both precision and recall.

# Index

A data structure built over selected fields to support fast retrieval (text search index and/or embedding index).

# Key

A field (or set of fields) that uniquely identifies a node within a node type. Keys enable idempotent ingestion and safe updates.

# NLP pipeline

A configurable sequence of NLP steps applied to a field (tokenization, entity capture, linking, etc.).

# Node

An entity in the graph (e.g., User, Ticket, Device) with a type and properties.

# Property

A field stored on a node used for display, filtering, and indexing (e.g., Summary, Status, Time).

# Schema

The definition of the node types and edge types in your workspace, including keys and properties.

# Workspace

An environment that contains your graph data, schema, search indexes, NLP/AI configuration, endpoints, interfaces, and administrative settings.