Chen - Google Patents
Retrieval-Augmented Generation with Knowledge Graphs: A SurveyChen
View PDF- Document ID
- 8903018607242358679
- Author
- Chen R
- Publication venue
- Computer Science Undergradaute Conference 2025@ XJTU
External Links
Snippet
Retrieval-Augmented Generation (RAG) has recently emerged as a powerful framework to enhance Large Language Models (LLMs) by leveraging external knowledge sources. However, traditional RAG systems relying on flat data structures often struggle with complex …
- 230000003190 augmentative effect 0 abstract description 2
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
- G06F17/30386—Retrieval requests
- G06F17/30424—Query processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
- G06F17/30587—Details of specialised database models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F17/30634—Querying
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F17/30705—Clustering or classification
- G06F17/3071—Clustering or classification including class or cluster creation or modification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30943—Information retrieval; Database structures therefor; File system structures therefor details of database functions independent of the retrieved data type
- G06F17/30946—Information retrieval; Database structures therefor; File system structures therefor details of database functions independent of the retrieved data type indexing structures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30861—Retrieval from the Internet, e.g. browsers
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/27—Automatic analysis, e.g. parsing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
- G06N5/04—Inference methods or devices
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
- G06N5/02—Knowledge representation
- G06N5/022—Knowledge engineering, knowledge acquisition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N7/00—Computer systems based on specific mathematical models
- G06N7/005—Probabilistic networks
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
- Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10S707/00—Data processing: database and file management or data structures
- Y10S707/99941—Database schema or data structure
- Y10S707/99943—Generating database or data structure, e.g. via user interface
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US12223404B2 (en) | Iterative attention-based neural network training and processing | |
| CN108268580A (en) | The answering method and device of knowledge based collection of illustrative plates | |
| Trame et al. | Linked data and time–modeling researcher life lines by events | |
| Jia et al. | OpenKN: An open knowledge computational engine for network big data | |
| CN118551123A (en) | Personalized movie recommendation method and system integrating large language model and knowledge graph | |
| Yin et al. | MRT: Tracing the evolution of scientific publications | |
| Moussaoui et al. | A possibilistic framework for the detection of terrorism‐related Twitter communities in social media | |
| Paydar et al. | A semi-automated approach to adapt activity diagrams for new use cases | |
| Baranowski et al. | Social welfare in the light of topic modelling | |
| Galitsky | Chatbots for CRM and dialogue management | |
| Pigott et al. | Complex knowledge modelling with functional entity relationship diagrams | |
| Liu et al. | Personalized recommendation with adaptive mixture of markov models | |
| Chen | Retrieval-Augmented Generation with Knowledge Graphs: A Survey | |
| Blanco-Fernández et al. | Automatically assembling a custom-built training corpus for improving the learning of in-domain word/document embeddings | |
| Zou | The representation of archival descriptions: An ontological approach | |
| Thiriot | Generate descriptive social networks for large populations from available observations: A novel methodology and a generator | |
| ElGindy et al. | Capturing place semantics on the geosocial web | |
| US12327166B1 (en) | Iterative attention-based neural network training and processing | |
| Gorskis et al. | Ontology-Based System Development for Medical Database Access | |
| Elgindy | Extracting place semantics from geo-folksonomies | |
| Shahbazi | StoryMiner: An Automated and Scalable Framework for Story Analysis and Detection from Social Media | |
| Purohit et al. | Transactional knowledge graph generation to model adversarial activities | |
| Rodríguez Burgos | Enabling knowledge accessibility for a customer support unit with an information retrieval portal | |
| Markowitz | Integrating Large Language Models and Knowledge Graphs to Improve Factuality and Reasoning | |
| Gottschalk | Creation, Enrichment and Application of Knowledge Graphs |