Insights
Notes on building reliable graph-backed retrieval—architecture, evaluation, and how we ship Perseus.
How graph visualization techniques—from layout algorithms to interactive exploration—turn enterprise data into navigable knowledge networks that preserve context and power deterministic, traceable AI.
Graph building
A practical 2026 guide to the leading text visualization tools for enterprise knowledge: from InfraNodus and MAXQDA to Lettria Perseus's text-to-graph platform that automates knowledge graph construction at scale.
Graph building
How AI business context validation, powered by enterprise knowledge graphs, grounds language models in verifiable corporate data, prevents hallucinations, and delivers 30% more accurate results than vector RAG.
Graph building
How modern text visualization techniques—from frequency charts to graph-based semantic networks—convert unstructured documents into structured knowledge graphs that power verifiable, traceable AI answers.
Graph building
Vector-based RAG flattens your data and loses critical context. This end-to-end guide covers ontology design, entity extraction, graph storage, and GraphRAG integration for production-grade enterprise AI.
Graph building
A robust data model serves as the architectural blueprint for how an organization captures, connects, and utilizes its information—making sure complex enterprise data retains its semantic meaning for AI.
Ontology building
Following knowledge graph news reveals a clear pattern: enterprise intelligence increasingly depends on structured semantic frameworks to deliver trustworthy, verifiable results.
Other
A robust knowledge graph visualization tool is essential to make sense of fragmented enterprise information—mapping complex relationships for accurate data science and advanced analytics.
Other
Traditional vector-based RAG systems lose critical context when processing enterprise data. This guide explores how knowledge graph applications preserve semantic relationships to deliver deterministic, traceable AI across industries.
Graph building
Over 80% of institutional knowledge sits in unstructured formats. This technical roadmap covers schema markup, entity reconciliation, and advanced strategies for turning raw documents into machine-readable semantic networks.
Graph building
Perseus helped Alfa Laval process over 1,000 technical PDFs, structuring the content to improve answer quality and support various teams.
Customer story · GraphRAG
Perseus transformed 108 GB of biomedical text into structured graph knowledge for Wisecube, monitoring +500 classes and scaling integration.
Customer story · Graph building
