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Intermediate

High Availability

In RAG architectures and AI Agent workflows, High Availability (HA) refers to the design of system components—such as vector databases, embedding services, and LLM gateways—to ensure continuous service delivery and minimal downtime through redundancy, automatic failover, and distributed replication, often requiring a trade-off against strict data consistency (CAP theorem).

Definition

In RAG architectures and AI Agent workflows, High Availability (HA) refers to the design of system components—such as vector databases, embedding services, and LLM gateways—to ensure continuous service delivery and minimal downtime through redundancy, automatic failover, and distributed replication, often requiring a trade-off against strict data consistency (CAP theorem).

Disambiguation

Distinguish from 'Scalability' (handling more users) by focusing on 'Resilience' (staying online during failures).

Visual Metaphor

"A Multi-Engine Jet: If one engine fails mid-flight, the remaining engines provide sufficient thrust to keep the aircraft airborne and reach the destination without interruption."

Key Tools
KubernetesPinecone (Multi-AZ)Milvus (Distributed mode)Weaviate (Replication Factor)AWS ELBTerraform
Related Connections

Conceptual Overview

In RAG architectures and AI Agent workflows, High Availability (HA) refers to the design of system components—such as vector databases, embedding services, and LLM gateways—to ensure continuous service delivery and minimal downtime through redundancy, automatic failover, and distributed replication, often requiring a trade-off against strict data consistency (CAP theorem).

Disambiguation

Distinguish from 'Scalability' (handling more users) by focusing on 'Resilience' (staying online during failures).

Visual Analog

A Multi-Engine Jet: If one engine fails mid-flight, the remaining engines provide sufficient thrust to keep the aircraft airborne and reach the destination without interruption.

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