We are looking for companies to work with us in developing modern data solutions. Email us at hello@labracorp.com.
We are unifying Large Language Models (LLMs) with Knowledge Graphs (KG) for better and more reliable insights from proprietary and web-sourced data.
Aggregating relevant data under a single source of truth (SSOT) database with easy query access would provide an immediate boost to productivity. Use cases range from simple data retrieval to complex analyses.
LLMs have shown humanlike ability to understand complex concepts and relations but are not suitable to answer long-tail or domain-specific questions. For most domain-specific or complex use cases, they should be complemented with additional data.
Document-based Retrieval Augmented Generation (RAG) makes it possible to inject external data into LLMs' context. However, its limitations become apparent in analyses where data from seemingly unrelated topics is needed or when the data needs to be updated with potentially conflicting information.
