Tag: vector searches
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Cloud Blog: Is your database holding you back? Boosting database efficiency and ROI with Cloud SQL
Source URL: https://cloud.google.com/blog/products/databases/how-cloud-sql-boosts-performance-and-cuts-costs-per-idc/ Source: Cloud Blog Title: Is your database holding you back? Boosting database efficiency and ROI with Cloud SQL Feedly Summary: Editor’s Note: Today, we’re sharing insights from IDC Research Director, Devin Pratt, as he offers his analysis of recent research on Cloud SQL. In this post, you’ll see how Cloud SQL’s highly…
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Cloud Blog: A deep dive into AlloyDB’s vector search enhancements
Source URL: https://cloud.google.com/blog/products/databases/alloydb-ais-scann-index-improves-search-on-all-kinds-of-data/ Source: Cloud Blog Title: A deep dive into AlloyDB’s vector search enhancements Feedly Summary: If you’re building a generative AI application or an AI agent, there’s a high likelihood you’ll need to perform simultaneous searches on structured and unstructured data. For example, the prompt “Show me all pictures of sunsets I took…
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Cloud Blog: Supercharge data access performance with GKE Data Cache
Source URL: https://cloud.google.com/blog/products/containers-kubernetes/gke-data-cache-now-ga-accelerates-stateful-apps/ Source: Cloud Blog Title: Supercharge data access performance with GKE Data Cache Feedly Summary: Today, we’re excited to announce the general availability (GA) of GKE Data Cache, a powerful new solution for Google Kubernetes Engine to accelerate the performance of read-heavy stateful or stateless applications that rely on persistent storage via network…
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Cloud Blog: Announcing open-source enhancements to LangChain PostgreSQL
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/open-source-enhancements-to-langchain-postgresql/ Source: Cloud Blog Title: Announcing open-source enhancements to LangChain PostgreSQL Feedly Summary: At Google Cloud Next ‘25, we announced upgrades to the core LangChain Postgres package and became a major contributor to the library. These improvements underscore our vision that every application developer is a gen AI developer – one that is…
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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…