Going Meta: Wrapping Up GraphRAG, Vectors, and Knowledge Graphs
May 14 3 mins read
In the 27 episodes of our Going Meta livestream series, Jesús Barrasa and I explored the many aspects of semantics, ontologies, and knowledge graphs. Read more →
New AWS Software Competencies — Financial, Auto, GenAI, and ML | Learn Now
In the 27 episodes of our Going Meta livestream series, Jesús Barrasa and I explored the many aspects of semantics, ontologies, and knowledge graphs. Read more →
Learn how to extract topics from documents with graph data science and use them as the basis for semantic search for better RAG applications. Read more →
What LLM & Graph May Bring to the Future of Knowledge GraphsNight light at Federation Square in Melbourne, photo by AuthorAbstractIn the last several decades, when people consider building a knowledge-related solution, they tend to look into two distinct directions based… Read more →
Discover a simple but effective way to improve vector similarity search for RAG using OpenAI Embedding, AWS Bedrock, or Google VertexAI. Read more →
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