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Redis Vector

A vector database for building GenAI applications including chatbots and agents.

vector searchreal-timescalableAI applications
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About

Redis Vector is a vector database designed for building GenAI applications. The page states it is "the world's fastest vector database." The vendor describes it as supporting the building of chatbots and agents at scale, with capabilities to perform operations on millions and billions of vectors globally. The product offers hybrid search capabilities, combining vector search with exact match functionality through the Redis Query Engine. Redis Vector integrates with agentic frameworks, specifically mentioning LangGraph for building AI agents. The page includes a code example demonstrating hybrid query functionality using the redisvl library, showing how to combine text and vector searches. The vendor positions the product for building GenAI applications that require both speed and accuracy.

Read from redis.io on 2026-08-26. We describe what the vendor states; we do not audit it.

Enterprise Readiness

from cataloged data
58/100 · Established
Security & ComplianceNot disclosed

No compliance certifications listed

Deployment FlexibilityStrong

Flexible deployment: Cloud, On-Premise, Hybrid, Self-Hosted

Integration DepthStrong

8 documented integrations

Proven AdoptionPartial

6 documented use cases

Company MaturityNot disclosed

Company maturity not disclosed

Composite of public compliance, deployment, integration, adoption, and company signals. “Not disclosed” reflects gaps in available data, not a vendor deficiency.

Independently sourced

Pulled directly from regulator filings and platform APIs. No vendor or editorial input.

Enterprise Use Cases

Semantic search for enterprise data
Recommendation engines
Fraud detection with AI
Real-time personalization
Natural language search
Image and video similarity search

Integrations

Redis EnterpriseKubernetesAWSAzureGoogle CloudApache KafkaElasticsearchPython SDK

How Redis Vector compares

ToolReadinessPricingDeploymentComplianceIntegrations
Redis Vector58 · EstablishedEnterpriseCloud, On-Premise, Hybrid, Self-Hosted8
MilvusNot scoredOpen SourceCloud, On-Premise, Hybrid, Self-Hosted8
ZillizNot scoredEnterpriseCloud, On-Premise, Hybrid, Self-Hosted7
Elasticsearch Vector67 · StrongEnterpriseCloud, On-Premise, Hybrid8

Peers from the same category, ranked by Enterprise Readiness. Readiness is a composite of cataloged compliance, deployment, integration, adoption, and company signals.

Frequently Asked Questions

What is Redis Vector used for?

Redis Vector is a vector database for building GenAI applications including chatbots and agents. It is commonly used for semantic search for enterprise data, recommendation engines, fraud detection with ai, and real-time personalization.

Is Redis Vector free, and how is it priced?

Redis Vector uses enterprise pricing, typically a custom quote based on seats, usage, and requirements. Contact the vendor for a quote.

How can Redis Vector be deployed?

Redis Vector supports Cloud, On-Premise, Hybrid, and Self-Hosted deployment. On-premise and self-hosted options support data-residency and air-gapped requirements.

What does Redis Vector integrate with?

Redis Vector documents 8 integrations, including Redis Enterprise, Kubernetes, AWS, Azure, Google Cloud, and Apache Kafka.

Is Redis Vector enterprise-ready?

Based on cataloged data, Redis Vector has an Enterprise Readiness score of 58/100 (Established tier), derived from its compliance, deployment, integration, adoption, and company-maturity signals.

Quick Facts

PricingEnterprise
DeploymentCloud, On-Premise, Hybrid, Self-Hosted
CategoryData & MLOps

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