Boosting RAG Application Precision with Knowledge Graph Integration
Boosting RAG Application Precision with Knowledge Graph Integration
24 May 202413:05pm - 24 May 202414:05pm
Boosting RAG Application Precision with Knowledge Graph Integration
About the Event
RAG Models and Their Challenges
Retrieval-Augmented Generation (RAG) models are revolutionizing natural language processing by combining retrieval-based techniques with advanced generative models. These models fetch pertinent information from extensive datasets and generate responses that are not only precise but also contextually enriched, setting new standards for AI in conversational, question-answering, and interactive applications. Despite their promise, RAG models face several challenges, such as ensuring the contextual relevance and timeliness of retrieved data, managing complex queries that demand a deep understanding of relationships and contexts, and integrating both structured and unstructured data for comprehensive responses.
Leveraging Knowledge Graphs to Enhance RAG Models
Knowledge Graphs, structured representations of knowledge where entities (nodes) are connected by relationships (edges), can address these challenges effectively. They offer a dynamic way to catalog information along with its context and interrelations. For instance, in a medical knowledge graph, nodes like symptoms, diseases, and treatments are interconnected by relationships such as symptoms of or treated by, providing a rich contextual background. Additionally, embeddings, which convert text into high-dimensional vectors to capture semantic meaning, enhance search capabilities within Knowledge Graphs, ensuring that retrieved information aligns closely with the query’s context, further benefiting RAG models.
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
Who is this DataHour for?
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
About the Speaker
Participate in discussion
Registration Details
Registered
Become a Speaker
Share your vision, inspire change, and leave a mark on the industry. We're calling for innovators and thought leaders to speak at our event
- Professional Exposure
- Networking Opportunities
- Thought Leadership
- Knowledge Exchange
- Leading-Edge Insights
- Community Contribution
