The Distributed SQL Blog

Deploying GraphRAG at Scale:  Unified AI Architecture with Dify and YugabyteDB

Deploying GraphRAG at Scale: Unified AI Architecture with Dify and YugabyteDB

Discover how to turn scattered documents into a connected knowledge graph using Dify and YugabyteDB. Dify handles AI orchestration while YugabyteDB serves as the unified data backbone, consolidating vectors, relationships, and metadata in one operationally straightforward platform. The end result is a robust system that’s simpler to operate, cost-efficient to scale, and easier to take from prototype to production-ready platform.

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Data Modernization Versus Data Migration

Data Modernization Versus Data Migration

When planning the next step for your organization’s data infrastructure, the first decision is whether to migrate your existing data “as‑is” or modernize your data platforms. This blog explains the difference between data modernization and data migration, when to choose each approach, and why adopting a distributed database is often central to a successful modernization strategy.

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Semantic AI Search with Vector Databases 

Semantic AI Search with Vector Databases 

Read this blog (and the related book) to gain a deep, practical understanding of vector databases, their significance in the AI era, and when they are not applicable. Learn why YugabyteDB is an ideal choice for Vector search and AI workloads, and how vector stores, complete vector databases, and hybrid systems compare, plus how you can model, index, query, scale, and operate vector and relational workloads together.

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Build an AI-Ready Data Foundation With Confidence

Build an AI-Ready Data Foundation With Confidence

AI doesn’t change the importance of data, it simply exposes weaknesses faster and at a much larger scale. If you’re building or modernizing AI-driven systems, the database you choose matters more than ever. Download our new white paper to discover what to look for in a next-generation data platform and how YugabyteDB meets those demands.

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YugabyteDB Joins Google’s MCP Toolbox for AI Agent Development

YugabyteDB Joins Google’s MCP Toolbox for AI Agent Development

YugabyteDB is officially supported in Google’s MCP Toolbox for Databases, making it easier for you to build production AI agents with confidence. Discover how developers can access YugabyteDB’s distributed SQL capabilities, including load balancing, topology-aware routing, and data sovereignty controls, as documented and tested configuration options rather than custom workarounds.

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Discover Three Key Data Migration Approaches

Discover Three Key Data Migration Approaches

Data migration is more than a technical exercise; it’s a strategic initiative that enables your business to evolve. By understanding the three major migration approaches (big‑bang, phased/trickle, and hybrid), the types of migration you may undertake, and the stages involved in a migration project, you can make the right choices to ensure business success.

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Powering AI at Scale: Benchmarking 1 Billion Vectors in YugabyteDB

Powering AI at Scale: Benchmarking 1 Billion Vectors in YugabyteDB

Scaling to billions of vectors doesn’t require new systems or trade-offs, just YugabyteDB’s distributed PostgreSQL solution delivering simplicity, performance, and developer familiarity. We have successfully benchmarked YugabyteDB’s vector index performance with the Deep1B dataset, running a staggering one billion vectors. In this blog, we explore why scalable vector indexes are essential, share the benchmark results, and highlight the advantages of unifying vector and relational data in a single store.

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