---
type: CKG Bundle
title: Conversational AI
tags: [CS & AI]
timestamp: 2026-06-18T00:00:00Z
ckg:
  id: conversational-ai
  nodes: 200
  license: CC BY 4.0
---

# Conversational AI — Compressed Knowledge Graph

```csv
ConceptID,ConceptLabel,TaxonomyID
1,Artificial Intelligence,FOUND
2,AI Timeline,FOUND
3,AI Doubling Rate,FOUND
4,Moore's Law,FOUND
5,Natural Language Processing,FOUND
6,Text Processing,FOUND
7,String Matching,FOUND
8,Regular Expressions,FOUND
9,Grep Command,FOUND
10,Keyword Search,SEARCH
11,Search Index,SEARCH
12,Inverted Index,SEARCH
13,Reverse Index,SEARCH
14,Full-Text Search,SEARCH
15,Boolean Search,SEARCH
16,Search Query,SEARCH
17,Query Parser,SEARCH
18,Synonym Expansion,SEARCH
19,Thesaurus,SEARCH
20,Ontology,SEARCH
21,Taxonomy,SEARCH
22,Controlled Vocabulary,SEARCH
23,Metadata,SEARCH
24,Metadata Tagging,SEARCH
25,Dublin Core,SEARCH
26,Semantic Search,SEARCH
27,Vector Similarity,SEARCH
28,Cosine Similarity,SEARCH
29,Euclidean Distance,SEARCH
30,Search Ranking,SEARCH
31,Page Rank Algorithm,SEARCH
32,TF-IDF,SEARCH
33,Term Frequency,SEARCH
34,Document Frequency,SEARCH
35,Search Precision,METRIC
36,Search Recall,METRIC
37,F-Measure,METRIC
38,F1 Score,METRIC
39,Confusion Matrix,METRIC
40,True Positive,METRIC
41,False Positive,METRIC
42,Search Performance,SEARCH
43,Query Optimization,SEARCH
44,Index Performance,SEARCH
45,Large Language Model,LLM
46,Transformer Architecture,LLM
47,Attention Mechanism,LLM
48,Token,LLM
49,Tokenization,LLM
50,Subword Tokenization,LLM
51,Byte Pair Encoding,LLM
52,Word Embedding,EMBED
53,Embedding Vector,EMBED
54,Vector Space Model,EMBED
55,Vector Dimension,EMBED
56,Embedding Model,EMBED
57,Word2Vec,EMBED
58,GloVe,EMBED
59,FastText,EMBED
60,Sentence Embedding,EMBED
61,Contextual Embedding,EMBED
62,Vector Database,EMBED
63,Vector Store,EMBED
64,Vector Index,EMBED
65,Approximate Nearest Neighbor,EMBED
66,FAISS,EMBED
67,Pinecone,EMBED
68,Weaviate,EMBED
69,Chatbot,CHAT
70,Conversational Agent,CHAT
71,Dialog System,CHAT
72,Intent Recognition,CHAT
73,Intent Modeling,CHAT
74,Intent Classification,CHAT
75,Entity Extraction,CHAT
76,Named Entity Recognition,CHAT
77,Entity Type,CHAT
78,Entity Linking,CHAT
79,FAQ,CHAT
80,FAQ Analysis,CHAT
81,Question-Answer Pair,CHAT
82,User Query,CHAT
83,User Intent,CHAT
84,Chatbot Response,CHAT
85,Response Generation,CHAT
86,Response Quality,CHAT
87,Response Latency,CHAT
88,User Feedback,CHAT
89,Feedback Button,CHAT
90,Thumbs Up/Down,CHAT
91,Feedback Loop,CHAT
92,AI Flywheel,CHAT
93,Continuous Improvement,CHAT
94,User Interface,CHAT
95,Chat Interface,CHAT
96,Message Bubble,CHAT
97,Chat History,CHAT
98,Conversation Context,CHAT
99,Session Management,CHAT
100,Chatbot Framework,CHAT
101,Rasa,CHAT
102,Dialogflow,CHAT
103,Botpress,CHAT
104,LangChain,CHAT
105,LlamaIndex,CHAT
106,JavaScript Library,CHAT
107,Node.js,CHAT
108,React Chatbot,CHAT
109,Chat Widget,CHAT
110,External Knowledge,RAG
111,Public Knowledge Base,RAG
112,Internal Knowledge,RAG
113,Private Documents,RAG
114,Document Corpus,RAG
115,RAG Pattern,RAG
116,Retrieval Augmented Generation,RAG
117,Retrieval Step,RAG
118,Augmentation Step,RAG
119,Generation Step,RAG
120,Context Window,RAG
121,Prompt Engineering,RAG
122,System Prompt,RAG
123,User Prompt,RAG
124,RAG Limitations,RAG
125,Context Length Limit,RAG
126,Hallucination,RAG
127,Factual Accuracy,RAG
128,GraphRAG Pattern,GRAPH
129,Knowledge Graph,GRAPH
130,Graph Database,GRAPH
131,Node,GRAPH
132,Edge,GRAPH
133,Triple,GRAPH
134,Subject-Predicate-Object,GRAPH
135,RDF,GRAPH
136,Graph Query,GRAPH
137,OpenCypher,GRAPH
138,Cypher Query Language,GRAPH
139,Neo4j,GRAPH
140,Corporate Nervous System,GRAPH
141,Organizational Knowledge,GRAPH
142,Knowledge Management,GRAPH
143,NLP Pipeline,NLP
144,Text Preprocessing,NLP
145,Text Normalization,NLP
146,Stemming,NLP
147,Lemmatization,NLP
148,Part-of-Speech Tagging,NLP
149,Dependency Parsing,NLP
150,Coreference Resolution,NLP
151,Database Query,QUERY
152,SQL Query,QUERY
153,Query Parameter,QUERY
154,Parameter Extraction,QUERY
155,Query Template,QUERY
156,Parameterized Query,QUERY
157,Query Execution,QUERY
158,Query Description,QUERY
159,Natural Language to SQL,QUERY
160,Question to Query Mapping,QUERY
161,Slot Filling,QUERY
162,User Context,CHAT
163,User Profile,CHAT
164,User Preferences,CHAT
165,User History,CHAT
166,Personalization,CHAT
167,Security,SEC
168,Authentication,SEC
169,Authorization,SEC
170,User Permission,SEC
171,Role-Based Access Control,SEC
172,RBAC,SEC
173,Access Policy,SEC
174,Data Privacy,SEC
175,PII,SEC
176,Personally Identifiable Info,SEC
177,GDPR,SEC
178,Data Retention,SEC
179,Log Storage,SEC
180,Chat Log,SEC
181,Logging System,SEC
182,Log Analysis,SEC
183,Query Frequency,EVAL
184,Frequency Analysis,EVAL
185,Pareto Analysis,EVAL
186,80/20 Rule,EVAL
187,Chatbot Metrics,EVAL
188,KPI,EVAL
189,Key Performance Indicator,EVAL
190,Chatbot Dashboard,EVAL
191,Acceptance Rate,EVAL
192,User Satisfaction,EVAL
193,Response Accuracy,EVAL
194,Chatbot Evaluation,EVAL
195,A/B Testing,EVAL
196,Performance Tuning,EVAL
197,Optimization,EVAL
198,Team Project,TOOL
199,Capstone Project,TOOL
200,Chatbot Career,TOOL
```

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