Introducing the Semantic Graph

#artificialintelligence 

This article is part of a tutorial series on txtai, an AI-powered semantic search platform. One of the main use cases of txtai is semantic search over a corpus of data. Semantic search provides an understanding of natural language and identifies results that have the same meaning, not necessarily the same keywords. Within an Embeddings instance sits a wealth of implied knowledge and relationships between rows. Many approximate nearest neighbor (ANN) indexes are even backed by graphs.

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