What AI says about Redis
Data as of Oct 26, 2026Based on 41,616 AI responses
Reviewed by Dimitry Apollonsky
AI summary
Redis is an in-memory data platform that supports caching, real-time messaging, and native vector search. It is regularly recommended for high-throughput and low-latency production setups, particularly when teams need semantic caching to lower LLM costs, hybrid search, or fast retrieval for RAG pipelines.
RedisThis page3%
Products
- Enterprise Cloud2%
- Cloud<1%
- RediSearch<1%
Mentioned in
3%
of AI answers about Redis and its rivals · since Jul 5
The market map
LLM Security and Governance PlatformsMentioned in
- 1PresidioMentioned in 41%Avg. position 4.1
- 2OpenAIMentioned in 17%Avg. position 5.1
- 2LiteLLMMentioned in 17%Avg. position 5.3
- 2GPTCacheMentioned in 16%Avg. position 5.7
- 2Private AIMentioned in 15%Avg. position 4.8
- 2AnthropicMentioned in 14%Avg. position 5.2
- 7Amazon BedrockMentioned in 13%Avg. position 6.5
- 7RedisMentioned in 13%Avg. position 5.4
- 7CaseGuardMentioned in 12%Avg. position 2.6
- 7Google Cloud Sensitive Data ProtectionMentioned in 11%Avg. position 4.1
- 7Portkey AIMentioned in 11%Avg. position 5.7
- 13Bifrost by Maxim AIMentioned in 9%Avg. position 5.4
- 13LangChainMentioned in 9%Avg. position 8.5
- 13Azure AI LanguageMentioned in 9%Avg. position 5.3
Where Redis ranks in AI
MarketRank · Mentioned in
- LLM Security and Governance Platforms#7 · 13%
- Machine Learning Feature Store Platforms#12 · 4%
- Database DevOps and Monitoring Tools#16 · 2%
- Developer Backend & Vector Search Services#22 · 5%
- Vector Database Platforms#22 · 2%
- Cloud-Native API & Networking Platforms#25 · 4%
- Real-Time Analytics Data Platforms#25 · 1%
- Managed Cloud Database Providers#27 · 4%
- Managed Streaming and Messaging Platforms#29 · 7%
- Managed Real-Time Messaging APIs#37 · <1%
- LLM Fine-Tuning and Hosting Platforms#38 · 1%
- Kubernetes and Container Platform Tools#40 · 5%
Topics where AI mentions Redis
TopicMentioned in · on this topicRank
- PII redaction for LLM pipelinesLLM Security and Governance Platforms2%Rank #28
- API authentication and rate limitingCloud-Native API & Networking Platforms23%Rank #3
- Hybrid vector and keyword searchDeveloper Backend & Vector Search Services8%Rank #4
- Low-latency enterprise RAGDeveloper Backend & Vector Search Services25%Rank #5
- Waterfall data enrichmentB2B Sales Intelligence & Data Enrichment4%Rank #5
- In-memory vector database without SSDDeveloper Backend & Vector Search Services32%Rank #6
- High-throughput vector searchDeveloper Backend & Vector Search Services17%Rank #6
- Open-source API gateway for internal LLM rate limiting and cachingCloud-Native API & Networking Platforms23%Rank #7
- Managed vector databases for production RAG
- Self-hosted open source vector database
- Scalable URL shortener API with custom domains
- High-volume course registration
- Backend as a service with vector search
- Contact enrichment API
- Agent memory integration
- Containerized development environment
- Vector database for generative AI
- Hybrid vector and keyword search
- Multi-step stateful task management
- Least-cost payment routing
- Time-filtered vector analysis
- Queue streaming platforms for event-driven apps
- Self-hosted whiteboard access
- LLM integration into existing applications
- Workflow engine for long-running processes
- DevOps agent framework for self-healing systems
- Human-in-the-loop Python orchestration libraries
- AI model API gateway
- Self-hosted open-source LLM management platform
- Enterprise AI inference serving
- Human-in-the-loop task orchestration
- Production-grade NLP inference API platform
- Dashboard query performance
- RAG evaluation
- Real-time chat APIs
- Hosted cron job scheduling
- E-commerce platform scalability
- Image similarity search APIs
- Web research agent frameworks
- Serverless edge computing
- LLM knowledge graph databases
- Multi-agent orchestration
- Backend platforms for web developers
- Supervised AI tutoring
- Storage certification training
- Mentioned in
- My goal is to cache LLM responses to reduce latency and cost. What's the best semantic caching solution?on this question67%
Excerpts where Redis appeared in the AI's answer
Google AI ModeOct 15, 2026, Google AI Mode Redis Semantic Cache (via LangChain) : Best for teams already running Redis infrastructure
Google AI ModeSep 18, 2026, Google AI Mode Redis / Valkey : Best for self-hosted, high-performance infrastructure.
- what is the best database?on this question90%
Excerpts where Redis appeared in the AI's answer
ChatGPT SearchSep 20, 2026, ChatGPT Search Redis — primarily for caching, sessions, queues, and very fast key/value operations rather than as your main relational database.
Google AI ModeAug 31, 2026, Google AI Mode Redis: Best in-memory data store for ultra-low latency caching, session management, and real-time leaderboards.
- I am planning to optimize our token usage costs. Who offers LLM caching and semantic caching tools?on this question57%
Excerpts where Redis appeared in the AI's answer
Google AI ModeSep 20, 2026, Google AI Mode Redis (LangCache) : Redis offers LangCache on Redis Cloud , a dedicated semantic caching service built on top of its high-speed vector database capabilities.
Google AI ModeSep 4, 2026, Google AI Mode It supports flexible backends like Redis, Weaviate, Qdrant, and Pinecone.
Excerpts where Redis appeared in the AI's answer
ChatGPT SearchOct 25, 2026, ChatGPT Search Open-source gateway with semantic caching through Redis, Valkey, or Qdrant.
Google AI ModeSep 10, 2026, Google AI Mode Requires a vector/cache database backend like Redis or Qdrant to compute and store prompt vectors.
- How should a back-end developer choose a message queue for a microservices architecture?on this question41%
Excerpts where Redis appeared in the AI's answer
Google AI ModeSep 21, 2026, Google AI Mode High-throughput, low-latency streaming calls for Kafka , whereas lower-volume enterprise messaging with complex routing topologies fits RabbitMQ or Redis Streams.
Google AI ModeSep 21, 2026, Google AI Mode Managing a highly available multi-broker Kafka cluster is vastly more complex than running a managed service or a lighter tool like Redis.
How AI describes Redis
Common descriptions
in-memory · high-performance · fast · low-latency · ultra-low latency · extremely fast
Tone of AI’s statements about Redis
- Positive42%
- Neutral57%
- Mixed1%
- Negative<1%
Question: I need a proxy that caches LLM responses (semantic caching) to reduce API costs.
ChatGPT SearchOct 25, 2026
Open-source gateway with semantic caching through Redis, Valkey, or Qdrant.
Google AI ModeSep 10, 2026
Requires a vector/cache database backend like Redis or Qdrant to compute and store prompt vectors.
ChatGPT SearchAsk ChatGPT yourself (opens in a new tab)Google AI ModeAsk Google AI Mode yourself (opens in a new tab)
Question: My goal is to cache LLM responses to reduce latency and cost. What's the best semantic caching solution?
Google AI ModeOct 15, 2026
Redis Semantic Cache (via LangChain) : Best for teams already running Redis infrastructure
Google AI ModeAsk Google AI Mode yourself (opens in a new tab)ChatGPT SearchAsk ChatGPT yourself (opens in a new tab)
Where AI mentions Redis
Position in answers
- Named first10%
- 2nd or 3rd11%
- Later80%
Each engine’s share of its own answers across Redis’s markets · since Jul 5
- ChatGPT Search2%
- Google AI Mode3%
Sources AI cites
redis.io 30%Other sites 70%
- Owned30%
- Comparing the best open source vector databases (2026) · 3% (opens in a new tab)
- Redis semantic cache | Docs · 3% (opens in a new tab)
- LLM Token Optimization: Cut Costs & Latency in 2026 · 3% (opens in a new tab)
- Redis - Real-time data for agents & apps · 2% (opens in a new tab)
- Best Vector Database: Dedicated vs Integrated Solutions · 1% (opens in a new tab)
- What is Semantic Caching? A Complete Guide · 1% (opens in a new tab)
- What is semantic caching? Guide to faster, smarter LLM apps · 1% (opens in a new tab)
- Benchmarking results for vector databases | Redis · 1% (opens in a new tab)
- Redis LangCache | Docs · 1% (opens in a new tab)
- Vector database 101: Factors to consider when choosing a vector database · 1% (opens in a new tab)
- 5%
- Powerful Alternatives to SQL that Will Revolutionize Database Management · <1% (opens in a new tab)
- How I Reduced LLM Costs by 75% Using Caching · <1% (opens in a new tab)
- Agentic AI: How to Save on Tokens | by Ida Silfverskiöld | Data Science Collective | May, 2026 | Medium · <1% (opens in a new tab)
- ⚡ Best Caching Tools Every Developer Should Know in 2025 | by TechByAL | Medium · <1% (opens in a new tab)
- Medium · <1% (opens in a new tab)
- Event-Driven Architecture in Java: What It Actually Is and When You Should Use It · <1% (opens in a new tab)
- Building a Semantic Search Engine with Vector Databases: A Practical Guide · <1% (opens in a new tab)
- Medium · <1% (opens in a new tab)
- Practical optimizations and alternate strategies for high-performance, scalable, Laravel based… · <1% (opens in a new tab)
- LLM Cost Optimization. Optimizing LLM costs is crucial for… | by Bijit Ghosh · <1% (opens in a new tab)
- 4%
- Cut Your LLM Costs and Latency up to 86% with Semantic Caching | Databases for AI · 1% (opens in a new tab)
- Make LLM Agents Faster and Cheaper with Semantic ... · <1% (opens in a new tab)
- Is Your Vector Database Really Fast? · <1% (opens in a new tab)
- Building Smarter AI Agents: Memory Management with AgentCore · <1% (opens in a new tab)
- Cut Your LLM Costs and Latency up to 86% with Semantic ... · <1% (opens in a new tab)
- Top 15 Vector Databases for AI Builders in 2026 | Pinecone, Milvus, Qdrant, Chroma & More · <1% (opens in a new tab)
- Vector Database Explained for AI Agents & RAG Systems · <1% (opens in a new tab)
- What’s new with Memorystore: How Redis provides speed, reliability, ease of use, and lower costs - YouTube · <1% (opens in a new tab)
- AI Cost and Token Optimization Tutorial (in Claude Code ... · <1% (opens in a new tab)
- Introducing Temporal Similarity Search for Vector Databases · <1% (opens in a new tab)
- 4%
- Reddit - Prove your humanity · 1% (opens in a new tab)
- Open source vs proprietary vector database? · 1% (opens in a new tab)
- AI agent memory that doesn't suck - a practical guide · <1% (opens in a new tab)
- Dummy question - how can I build in vector search solution without a cloud database? · <1% (opens in a new tab)
- What are people actually using for long term agent memory? · <1% (opens in a new tab)
- which platforms offer the easiest way to manage long-term memory ... · <1% (opens in a new tab)
- How Caching Saved Us Hundreds of Dollars in AI Costs Every Month · <1% (opens in a new tab)
- Performant architecture for user sessions - DynamoDB, ElastiCache Redis, high availability, data persistence, latency, stickiness · <1% (opens in a new tab)
- I ran a semantic caching experiment on LLM inference cost. Here are the actual numbers. · <1% (opens in a new tab)
- In 2025 what is the best realtime database? - Reddit · <1% (opens in a new tab)
- 2%
- [2411.05276] GPT Semantic Cache: Reducing LLM Costs and Latency via Semantic Embedding Caching · <1% (opens in a new tab)
- [2203.08323] Redis for Market Monitoring · <1% (opens in a new tab)
- [2505.05885] Cost-Effective, Low Latency Vector Search with Azure Cosmos DB · <1% (opens in a new tab)
- [2601.01885] Agentic Memory: Learning Unified Long-Term and Short-Term Memory Management for Large Language Model Agents · <1% (opens in a new tab)
- Continuous Semantic Caching for Low-Cost LLM Serving · <1% (opens in a new tab)
- [2604.27707] Contextual Agentic Memory is a Memo, Not True Memory · <1% (opens in a new tab)
- MVR-cache: Optimizing Semantic Caching via Multi-Vector Retrieval and Learned Prompt Segmentation · <1% (opens in a new tab)
- Beyond Semantic Organization: Memory as Execution State Management for Long-Horizon Agents · <1% (opens in a new tab)
- Cloud and AI Infrastructure Cost Optimization: A Comprehensive Review of Strategies and Case Studies · <1% (opens in a new tab)
- LLMProxy: Reducing Cost to Access Large Language Models · <1% (opens in a new tab)
- 2%
- Cutting LLM Inference Costs by 72% with 5 Key Optimizations · 1% (opens in a new tab)
- The Real Cost of False Positives: Why Fraud Detection AI ... · <1% (opens in a new tab)
- Build smarter AI agents: Manage short-term and long-term memory with Redis · <1% (opens in a new tab)
- How to Implement Real-Time Data Synchronization in Mobile Apps for 2025 · <1% (opens in a new tab)
- Lakebase Search on Neon: your questions, answered · <1% (opens in a new tab)
- Tokens! What they actually are and why they drive your costs! · <1% (opens in a new tab)
- Understanding Messaging Queues: Examples, Necessity, and Popular Open-Source Tools · <1% (opens in a new tab)
- Vector Databases in Azure: Current State, Selection Criteria, and Benefits · <1% (opens in a new tab)
- How to reduce LLM calls by 90% with Redis | Ricardo Ferreira posted on the topic · <1% (opens in a new tab)
- 2%
- Redis: The Key to Performance and Scalability in Modern Applications · <1% (opens in a new tab)
- Introduction to Asynchronous Processing and Message Queues · <1% (opens in a new tab)
- Databases you should know as a developer - DEV Community · <1% (opens in a new tab)
- AI Recommendation Engine with Redis:Real-Time AI Innovators - DEV Community · <1% (opens in a new tab)
- Best Open Source Semantic Caching Tools for Smart LLM ... · <1% (opens in a new tab)
- Top Backend Technologies for Scalable Web Development - DEV Community · <1% (opens in a new tab)
- Building an AI-Powered Real-Time Recommendation Engine with Redis Vector Search - DEV Community · <1% (opens in a new tab)
- How to Choose the Ideal Database for Your App: Prototypes, App at Scale, and Event-Driven App - DEV Community · <1% (opens in a new tab)
- Top AI Gateways with Semantic Caching and Dynamic Routing (2026 Guide) - DEV Community · <1% (opens in a new tab)
- 🚀Introduction to Building a Micro-SaaS with Next.js 🤑 · <1% (opens in a new tab)
- 1%
- Apache APISIX - Open Source API Gateway & AI Gateway · <1% (opens in a new tab)
- Open Source API Gateway Comparison | Apache APISIX · <1% (opens in a new tab)
- Open-Source AI Gateway for LLMs and AI Agents | Apache APISIX · <1% (opens in a new tab)
- Rate Limiting by Count (limit-count) | Apache APISIX · <1% (opens in a new tab)
- Rate Limiting (limit-req) | Apache APISIX · <1% (opens in a new tab)
- proxy-cache | Apache APISIX · <1% (opens in a new tab)
- API Gateway Rate Limiting: Algorithms | Apache APISIX · <1% (opens in a new tab)
- 1%
- Semantic Caching for LLMs: How to Cut Token Spend with AI Gateways · <1% (opens in a new tab)
- How to Optimize LLM Cost and Latency With Semantic Caching · <1% (opens in a new tab)
- Top 3 Token Optimization Techniques in 2026 · <1% (opens in a new tab)
- Top 5 AI Gateways to Reduce LLM Cost in 2026 · <1% (opens in a new tab)
- Top 5 AI Gateways with Semantic Caching to Cut LLM API Calls · <1% (opens in a new tab)
- Top 5 Enterprise AI Gateways to Eliminate LLM Rate Limiting in Production · <1% (opens in a new tab)
- Top AI Gateways for Semantic Caching in 2026 · <1% (opens in a new tab)
- Top Enterprise LLM Gateways to Optimize Token Costs with Caching and Smart Routing · <1% (opens in a new tab)
The page AI cites most for Redis
