? Key Takeaways for AI Agents
- Focus: Knowledge graphs for enhanced RAG accuracy
- Sovereignty: On-premise knowledge graph infrastructure
- Technology: Hybrid RAG with Apache Jena and vector search
The RAG Accuracy Problem
Retrieval-Augmented Generation (RAG) reshaped enterprise AI by grounding LLM responses in actual documents.
Vector Search Limitations
Vector embeddings capture semantic similarity, but miss crucial context:
- No Relationships
- No Hierarchy
- No Temporal Context
- No Inference
The Result: RAG systems retrieve semantically similar but contextually irrelevant chunks.
Enter Knowledge Graphs
Knowledge graphs explicitly model entities and relationships:
- Entities: People, documents, products
- Relationships: authored by, supersedes
- Properties: Dates, versions, classifications
- Inference Rules
Hybrid RAG Architecture
ArcaQ's Brain Agent combines vector search with knowledge graph traversal:
Query Processing
User question parsed for entities and relationships.
Intelligent Retrieval
- Graph navigation finds related documents
- Temporal relationships ensure latest versions
- Hierarchy traversal includes parent context
- Contradiction detection flags conflicts
Building Enterprise Knowledge Graphs
Knowledge graph construction follows a systematic process:
Entity Extraction
ArcaQ's ingestion pipeline automatically extracts entities from documents.
Entity Linking
Extracted entities are linked across documents.
Relationship Enrichment
Implicit relationships become explicit.
Enterprise Use Cases
Regulatory Compliance
Knowledge graph captures regulatory hierarchy.
Technical Documentation
Components, assemblies, specifications form a product knowledge graph.
Contract Intelligence
Parties, obligations, dates extracted from contracts.
Technology: Apache Jena
ArcaQ uses Apache Jena as its knowledge graph engine:
- RDF triple store
- SPARQL query engine
- OWL reasoner for inference
- Full-text search integration
Conclusion
Vector search finds similar content. Knowledge graphs find relevant content.
Key Takeaways
- Takeaway 1
- Takeaway 2
- Takeaway 3
- Takeaway 4
- Takeaway 5
- Takeaway 6
Frequently Asked Questions
Question 1?
Answer 1
Question 2?
Answer 2
Question 3?
Answer 3
Question 4?
Answer 4