Knowledge Graph
Precise Semantic Retrieval: Implementing Chunk-level Vector Search with GraphDB and Elasticsearch
Read our technical guide to implementing chunk-level vector search using GraphDB & Elasticsearch
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Building Smarter, Faster — How GraphRAG Cuts AI Development Costs and Complexity
Read about why traditional RAG systems become costly at scale and how GraphRAG reduces complexity and improves cost predictability.
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Querying Diverse Datasets with MCP
Read about how to integrate JDBC-enabled relational data with your RDF graphs and how to query them both with natural language
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Beyond the Chatbot: Why Marta is the Smarter Way to Navigate Graphwise
Read about our AI assistant designed to give instant, contextually accurate answers about our products, use cases & business value.
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When FAIR Becomes Architecture: Solving Preclinical Data Fragmentation at Scale
Read about how a top-5 global pharma company transformed a fragmented preclinical in vivo data landscape into a semantically rich knowledge graph
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What Is a Semantic Backbone?
The Semantic Backbone serves as a source of truth, unifying data silos & providing contextual grounding for scalable and trustworthy Agentic AI.
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Building Taxonomies with AI
Discover why GenAI doesn't replace taxonomies and how Graphwise platform bridges the gap between SMEs and taxonomists by using AI to automate hierarchies, synonyms, and definitions.
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From Data Exchange to Knowledge Exchange: Why Context is the Missing Layer in Enterprise AI
Read about the origins of the semantic web, the rise of enterprise knowledge graphs, their relationship to AI, and what it actually takes to get started.
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Automating Data Privacy Compliance: Knowledge Graphs, Generative AI, and Real-Time Risk
Read about how How to use knowledge graphs and GenAI to automate data privacy compliance and govern emerging AI use cases effectively.
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From Retrieval to Reasoning: Enhancing HippoRAG with Graph-Based Semantics
Read about how an ontology-based knowledge graph boosts the multi-hop Q&A accuracy of one of the leading schemaless GraphRAG systems
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What Is a Knowledge Graph?
Knowledge graphs are a collection of interlinked descriptions of entities that put data into context and enable data analytics & sharing.
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What Is a Large Language Model?
Large Language Models (LLMs) are Machine Learning models that are trained on massive datasets of text to understand, summarize, generate and predict language.
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