Architecting GenAI and
RAG Apps with YugabyteDB

Flexible data infrastructure for AI-powered applications
Hello RAG!Azure AI SearchExplore Vector Search

Want to rapidly deploy GenAI and RAG apps at scale?

Most new applications include an AI component. Legacy apps may require retooling for Retrieval-Augmented Generation (RAG) functionality and to meet evolving business requirements.

Your data makes AI apps accurate and relevant
GenAI alone isn’t useful. A RAG architecture enhances LLMs with your enterprise data.

YugabyteDB provides advanced vector indexing capabilities.
Ultra-resilience and scalability are critical
AI apps require high availability, ultra-resilience, and painless scale.

YugabyteDB’s distributed architecture delivers this and supports over 100M vectors.
Rapid iteration, high flexibility
Rapidly evolving standards, including MCP, A2A, and ACP, require flexible architectures.

Flexible Postgres-compatible YugabyteDB meets changing industry standards.

Advanced Vector Indexing and Distributed SQL Capabilities

YugabyteDB combines the power of the pgvector PostgreSQL extension with an inherently distributed architecture. This future-proofed foundation helps you build AI-powered, data-driven applications—including RAG and Agentic AI—that demand high-performance vector search.

YugabyteDB’s unique approach to vector indexing addresses the limitations of single-node PostgreSQL systems when dealing with large-scale vector datasets.

Unparalleled Horizontal Scalability for AI Apps

Confidently grow your business with an AI-ready data layer that easily and quickly scales queries, storage, and connections.

  • Easily manage 100s of millions of vectors with ultra-low-latency vector query response times
  • Respond to unexpected demand with simple, automatic, rapid horizontal scalability
  • Deliver high availability with active-active replication
Unparalleled Horizontal Scalability for AI Apps
Distributed Indexing and Seamless Similarity Search

YugabyteDB enables vector indexes to be distributed naturally across the database cluster. This accelerates indexing and vector queries across massive datasets. YugabyteDB’s sophisticated data retrieval and analysis allow you to use vector search to find similar documents that meet specific criteria.

  • Achieve even distribution of vector indexes across clusters
  • Perform vector similarity searches directly using SQL
  • Filter, join, and aggregate vector and SQL queries in a single, standard SQL statement
Distributed Indexing and Seamless Similarity Search
Flexible Architecture

Build your AI-powered applications with confidence.

YugabyteDB’s extensible indexing framework supports the seamless integration of state-of-the-art vector indexing libraries and algorithms. This ensures that your apps can quickly capitalize on new advancements and optimizations.

  • Extensible indexing framework designed to support evolving vector indexing libraries and algorithms
  • YugabyteDB’s future-ready design provides flexibility and customization for new libraries
  • Run scalable, resilient, and feature-rich vector searches, with the power and familiarity of PostgreSQL
AI Flexible Architecture

Choosing the Right Database for GenAI Apps

There are critical design choices you should consider when selecting a database, specifically when choosing between a dedicated vector database and a distributed SQL, multi-modal database like YugabyteDB.
Feature Standalone Vector Database YugabyteDB with Vector Search
Vector Search
Horizontal ScalabilityMay offer
Ultra Resilient
ConsistencyVariesStrong Consistency
Full SQL SupportLimited or none
Data ModelVector, maybe DocumentMulti-Model: Vector, Relational, Document, Key-Value
Traditional SQL + Vectors
Familiar PostgreSQL
ACID Compliant
Only One Database Required
Low Operational Complexity
Low TCO (Small, POC Projects)
Low TCO (Full Production, at Scale)
Row-Level Security
Low/Zero Learning Curve
High Queries/Second
Query FlexibilityVectorSQL + Vector
Geo-Located DataMay offer
Deploy in Hybrid/Multi-CloudMay offer
Growing Postgres AI Ecosystem
Geo-Distributed Architecture
Open SourceMay offer

Learn More

Deploy AI at Scale With YugabyteDB’s First Agentic AI Application and Extensible Vector Search Blog
Deploy AI at Scale With YugabyteDB’s First Agentic AI Application and Extensible Vector Search
When Should You Use Distributed PostgreSQL For Gen AI Apps?
When Should You Use Distributed PostgreSQL For Gen AI Apps?
Intelligent Database Insights With Agentic AI for YugabyteDB Metadata
Intelligent Database Insights With Agentic AI for YugabyteDB Metadata