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Semantic Search and Embeddings for Serverless Postgres
Exploring the use of semantic search and embeddings in serverless Postgres, including how embeddings are obtained from OpenAI's API and used to index content. Comparing algorithms for approximate nearest neighbor searches and introducing the new PG embedding plugin for faster performance and better recall, with a focus on its open source nature and compatibility with Postgres.