Tag: vector searches
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Cloud Blog: AlloyDB AI drives innovation for application developers
Source URL: https://cloud.google.com/blog/products/databases/alloydb-ai-drives-innovation-from-the-database/ Source: Cloud Blog Title: AlloyDB AI drives innovation for application developers Feedly Summary: The transformative power of AI and intelligent agents is driving profound changes, where software can understand natural language questions and commands — and even autonomously act on our behalf. At the heart of this revolution is the “AI-ready” enterprise…
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Cloud Blog: Build richer gen AI experiences using model endpoint management
Source URL: https://cloud.google.com/blog/products/databases/use-model-endpoint-management-on-alloydb/ Source: Cloud Blog Title: Build richer gen AI experiences using model endpoint management Feedly Summary: Model endpoint management is available on AlloyDB, AlloyDB Omni and Cloud SQL for PostgreSQL. Model endpoint management helps developers to build new experiences using SQL and provides a flexible interface to call gen AI models running anywhere…
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Hacker News: Sharding Pgvector
Source URL: https://pgdog.dev/blog/sharding-pgvector Source: Hacker News Title: Sharding Pgvector Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the implementation of a sharding strategy for handling vector indices in the pgvector database, focusing specifically on large-scale embeddings. It highlights the challenges of scaling vector searches and presents an approach using two indexing…
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Hacker News: Sharding Pgvector
Source URL: https://pgdog.dev/blog/sharding-pgvector Source: Hacker News Title: Sharding Pgvector Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the implementation of a sharding strategy for handling vector indices in the pgvector database, focusing specifically on large-scale embeddings. It highlights the challenges of scaling vector searches and presents an approach using two indexing…