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GitHub Repository
CogDB Demo: Text → Knowledge Graph → Semantic Search
3 starsPython
Build a knowledge graph from unstructured text in Python
by am3141·Mar 17, 2026·1 point·0 comments
AI Analysis
●Mid
CogDB integration is the differentiator, but text-to-KG is a solved pattern.
Strengths
- •Hybrid queries combine graph traversal with embedding-based semantic search.
- •Entity resolution step normalizes aliases and deduplicates before graph insertion.
Weaknesses
- •LlamaIndex and LangChain already offer text-to-graph pipelines with more backends.
- •Five commits and two stars — needs more examples before production use.
Category
Target Audience
Data engineers, knowledge management teams
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LlamaIndex · LangChain · Neo4j GenAI
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