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Recent Talks & Demos are for members only
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Shows how GraphRAG and context-aware RAG use knowledge graphs and contextual embeddings with graph databases and ranking techniques to address retrieval accuracy and implementation challenges.
This talk explores how to optimize AI companions for project management using RAG. Standard RAG models struggle with context, leading to incomplete or inaccurate data retrieval, which is important when managing resources and making decisions. We’ll explore GraphRAG and context-aware RAG, which use knowledge graphs and enhanced contextual embeddings to improve the precision and relevance of information retrieval.
Maestro orchestrates Python-defined AI agents for complex, automated, agentic microservices.
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