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  3. Code & Dev
  5. Create knowledge graphs

Best AI Tools to Create knowledge graphs

Transform code, documents, and other information into connected knowledge graphs.

Write codeReview codeBuild appsBuild AI appsAutomate software developmentTest websitesBuild RAG systemsAnalyze codebasesGenerate software documentationManage AI memoryConnect AI to appsEngineer promptsFine-tune AI modelsRun AI models locallyServe AI modelsManage AI modelsMonitor infrastructureManage databasesRun code in sandboxesManage API gatewaysBuild search enginesOptimize AI contextRun distributed computing

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Knowledge graph tools turn documents, code and data into a network of connected entities and relationships. AI extracts the entities and links, which helps with complex questions, code understanding and better retrieval for AI assistants.

When a knowledge graph helps

Graphs are useful when relationships matter: how people, companies and contracts relate, how functions depend on each other in a codebase, or how research topics connect. Graph-based retrieval can answer questions that plain document search misses.

Choosing a tool

Compare extraction quality on your data, supported graph databases, visualization, query options, update handling when sources change and costs of processing large collections with AI.

FAQ

What is GraphRAG?

A RAG approach that uses a knowledge graph to retrieve connected information, helping with questions that span many documents.

Do I need a graph database?

For large or frequently queried graphs, yes; small projects can start with simpler storage.

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