Ingestion scope
List documents, URLs, databases, and session traces, then decide dataset names, node sets, and update cadence.
Graph RAG
Map documents into a knowledge graph RAG plan
Cognee combines vector embeddings, graph reasoning, and ontology-oriented extraction. This page turns that architecture into a practical rollout checklist.
Graph structure
Capture entities, relationships, temporal facts, custom DataPoint models, and ontology constraints that matter for answers.
Evaluation evidence
Track answer quality, retrieval modes, feedback loops, graph visualization, and failure cases before opening access.
Strong relevance
Keyword intent handled here
These terms are used for page intent because they match the product theme and landing task. They remain keyword candidates until same-request MiroFish Trends evidence is collected.
knowledge graph RAG
Map entities, relationships, vector retrieval, and graph reasoning into a rollout plan.
Theme relevance: Direct landing page exists for Cognee-style Graph RAG planning.
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knowledge graph RAG planner
Turn graph RAG architecture into a reviewable implementation checklist.
Theme relevance: Strong page fit for teams planning graph-backed RAG.
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