Improving LLM accuracy with knowledge graphs

[jrineakter]

If you want to overcome limitations, use a knowledge graph-powered data catalog. Knowledge graphs highlight the context and semantics between your data and allow LLMs to understand better and answer complex enterprise queries. They increase the factual accuracy of outputs and reasoning capabilities by 3 times.

They organize information into interconnected entities and relationships as a structured representation. This helps LLMs access accurate and up-to-date information to provide accurate responses based on the context and relationships within the data.

Learn more about integrating knowledge graphs and LLMs in the podcast KG+LLM=Happily Ever After.

Going beyond LLMs with enterprise AI agents
Enterprise AI agents are advanced AI systems that operate specifically within complex business environments. You can integrate them with ERP, CRM, and other business software to automate daily business operations.

They are created using a combination of LLMs, machine learning, NLP, and other AI technologies.

LLMs increase language generation and comprehension accuracy, while machine learning algorithms enable pattern recognition and prediction in these agents. In addition, NLP techniques canada whatsapp number data improve the agents' parsing and interpretation of human language capabilities so they can interact naturally with users.

Combined, these technologies allow Enterprise AI agents to understand and process human language through continuous data-driven learning. With this integrated approach, they handle complex use cases that general LLMs can’t.

Some common examples are:

Customer service: Integrate with CRM systems to access and update customer records and provide personalized responses based on historical interactions.

Supply chain management: Predict inventory needs by automating restocking processes and optimizing shipping routes with real-time and historical data.

Human resources: Screen job candidates and conduct initial assessments to streamline the recruitment process and improve candidate selection.

data.world’s AI advantage
data.world’s data catalog is built on a knowledge graph architecture that provides an AI-ready data environment. With this knowledge-graph technology, you can enrich LLMs with reliable interconnected data sources to enhance the precision and reliability of AI-driven insights. This provides a level of transparency that increases compliance and trust in LLMs by allowing organizations to see exactly how LLM responses are generated.

Here’s what you can get with data.world’s catalog:

Ability to manage and organize your data effectively to be readily available for LLM training and testing.

Build custom AI solutions that easily integrate with LLMs for specific industry needs.

Ensure data governance and security when feeding error-free data into your LLMs.

Book a demo with data.world to see firsthand how it can transform your business with advanced AI capabilities.