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Key Concepts

Essential concepts related to TrustGraph including knowledge graphs, the semantic web, ontologies, schemas, pub/sub, and more.

intermediate
13 min

Context Graphs: AI-Optimized Knowledge Graphs

Learn how Context Graphs extend Knowledge Graphs by optimizing specifically for AI model consumption, enabling reduced hallucinations, efficient token usage, and intelligent context engineering.

#context-graphs#knowledge-graphs#context-engineering
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intermediate
9 min

Agent Memory

Explore how Knowledge Graphs enable persistent, structured memory for AI agents. Learn about short-term, long-term, and episodic memory patterns for intelligent agents.

#agent-memory#ai-agents#knowledge-graphs
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intermediate
7 min

Context Engineering

Learn how Context Engineering shapes AI responses by carefully selecting and structuring information from Knowledge Graphs. Master the art of building precise, relevant context for LLM queries.

#context-engineering#llm#knowledge-graphs
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intermediate
9 min

GraphRAG: Graph-Based Retrieval-Augmented Generation

Discover how GraphRAG combines Knowledge Graphs with vector search to enable multi-hop reasoning and relationship-aware context for LLMs. Learn the advantages over traditional RAG.

#graphrag#rag#knowledge-graphs
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intermediate
9 min

Interoperability

Learn how Knowledge Graphs enable seamless data exchange across systems through standard formats, protocols, and vocabularies. Master interoperability patterns for connected AI systems.

#interoperability#integration#standards
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intermediate
8 min

Knowledge Cores as Modular Memory

Understand how Knowledge Cores provide modular, swappable Knowledge Graph storage for AI agents. Learn to organize, version, and manage multiple knowledge bases.

#knowledge-cores#modular-memory#knowledge-graphs
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advanced
13 min

Ontology RAG: Schema-Driven Knowledge Extraction

Learn how Ontology RAG uses formal ontologies to extract structured, typed knowledge from unstructured text. Understand when to use schema-driven extraction vs. schema-free GraphRAG.

#ontology-rag#rag#ontology
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intermediate
9 min

Semantic Structures

Learn how semantic structures organize knowledge with meaning and context. Explore ontologies, schemas, taxonomies, and how they enable machine-understandable knowledge representation.

#semantic-structures#ontology#schema
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intermediate
9 min

Semantic Web

Understand the Semantic Web vision of machine-readable, interconnected data. Learn about RDF, SPARQL, linked data, and how TrustGraph implements Semantic Web principles.

#semantic-web#rdf#linked-data
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