Leveraging the OPEA Platform and GraphRAG Architectures To Drive Cl...
summary
OPEA platform provides Docker/Kubernetes blueprints and composable microservices (LLM, embeddings, vector DB, graph DB, prompt store, UI) and plugs in LangChain, Neo4j and standard infra; combining that stack with GraphRAG means vector search plus graph traversal returns more accurate, explainable answers, lowers token usage in some cases, and reduces hallucinations. Demo ingests Wikipedia into a knowledge graph, queries show precise links (Terminator + BladeRunner → tech noir), and a real deployment answers 250,000 questions first year with 85% adoption.
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chapters (11)
- 0:00OPEA and GraphRAG intro
- 1:28Why OPEA was created
- 4:02OPEA open source project
- 7:51RAG blueprints in OPEA
- 12:24Traditional RAG vs GraphRAG
- 15:13Knowledge graph use cases
- 18:43Healthcare: RAG vs GraphRAG
- 20:30GraphRAG for GenAI apps
- 23:44GraphRAG blueprint architecture
- 25:12Live GraphRAG demo
- 30:50Q&A
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