A new multimodal tool combines a large language model with powerful graph-based AI models to efficiently find new, synthesizable molecules with desired properties, based on a user's queries in ...

AllegroGraph: LLMs and Knowledge Graphs for AI in the Enterprise In the rapidly evolving landscape of artificial intelligence (AI) and data analytics, the synergy between Knowledge Graphs and Large ...

Knowledge graphs—machine-readable data representations that mimic human knowledge—are bridging the gap between proprietary enterprise data and safe, reliable, helpful LLMs.

The graph of knowledge vs. the knowledge graph: GoK is a broader, more conceptual idea focusing on interconnected information, without necessarily being highly structured.

Explore the role of content knowledge graphs in enhancing your marketing strategy and improving information retrieval with structured data.

Knowledge graphs are an ideal complement to AI, including LLMs and retrieval-augmented generation (RAG).” Graph databases and knowledge graphs, alongside other technologies like vector databases, ...

Learn how large language models like ChatGPT make knowledge graph creation accessible, revealing hidden connections in your data.

GraphRAG: Combination of graphs and text for LLMs Retrieval Augmented Augmentation helps to optimize the output of LLMs. GraphRAG also brings a visual component into play.

Accelerating multimodal LLMs Foundation LLMs contain billions of parameters and require massive amounts of power to train from scratch. However, multimodal models often need to be deployed with low ...