Interventions

Intervention

Deploy a RAG LLM stack with a Knowledge Graph

Use a Knowledge Graph as the source for information retrieval to provide the LLM with correct, scoped, and contextual information.

Improves these Problems

LLM / GPT AI hallucinates incorrect information

Knowledge Graph intelligence not accessible to business users

LLM / GPT AI is not trained on complete, accurate information

Involves these Technologies

Graph RAG (Graph-based Retrieval-Augmented Generation) is an advanced technique that improves upon the standard Retrieval-Augmented Generation (RAG) approach using a Knowledge Graph.

Machine Learning (ML)

Artificial Intelligence (AI)

AI is a core discipline at Data Language, with an expert team skilled in machine learning, deep learning, and scalable Production AI engineering. AI is advancing as the key technology that all businesses need to master.

Large Language Model (LLM) AI

A large language model (LLM) is a language model consisting of a neural network with many parameters, trained on large quantities of unlabelled text using self-supervised learning.

Retrieval-Augmented Generation (RAG) with LLMs

RAG is an AI technology pattern that employs large language models (LLMs) to retrieve facts from a specific knowledge base.

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Graph RAG features for Data Graphs - Data Language Summer 2024 Hack Event

Graph RAG features for Data Graphs - Data Language Summer 2024 Hack Event

Our summer's hack event is spearheading new RAG Stack features for Data Graphs