Qdrant vs Redis: which does AI recommend?
· ChatGPT Search and Google AI Mode
Based on every AI answer that names both
Reviewed by Dimitry Apollonsky
Topic by topic
Mentioned in, as a share of each topic’s answers
Qdrant named more13Within 2 points3Redis named more2
Qdrant named more
- Time-filtered vector analysisFar ahead
- Hybrid vector and keyword searchFar ahead
- Self-hosted open source vector databaseFar ahead
- High-throughput vector searchFar ahead
- Low-latency enterprise RAGFar ahead
- Vector database for generative AIFar ahead
Redis named more
- Agent memory integrationSlightly ahead
- LLM integration into existing applicationsSlightly ahead
Within 2 points3
Only Qdrant is ranked in12
- Access-controlled semantic search
- Local development prototyping
- Self-hosted open-source vector database
- Vector database live re-indexing
- Hosted embeddings with tenant isolation
- Local development prototyping
- Multi-tenant vector isolation
- Vector databases with metadata filtering
- Document parsing for LLM pipelines
- Managed embedding generation
- Multimodal embedding storage and query
- Self-hosted open-source RAG framework
Only Redis is ranked in12
- API authentication and rate limiting
- Waterfall data enrichment
- Open-source API gateway for internal LLM rate limiting and caching
- Scalable URL shortener API with custom domains
- Contact enrichment API
- High-volume course registration
- Containerized development environment
- Multi-step stateful task management
- Least-cost payment routing
- Queue streaming platforms for event-driven apps
- Self-hosted whiteboard access
- Workflow engine for long-running processes
What people ask AI about Qdrant and Redis
- My goal is to cache LLM responses to reduce latency and cost. What's the best semantic caching solution?Redis usually first
- I need a vector database that runs in-memory for speed and does not rely on SSD storage.Redis often first
- I need a proxy that caches LLM responses (semantic caching) to reduce API costs.Redis often first
- The problem is, our vector search is slow under high load. What's the best vector database designed for high-throughput, low-latency production use?Qdrant almost always first
- I am looking for a database that supports vector search natively and does not require a separate bolt-on index.Qdrant usually first
Who AI mentions first
- JunQdrant listed first: 68%Redis listed first: 32%
- JulQdrant listed first: 59%Redis listed first: 41%
- AugQdrant listed first: 62%Redis listed first: 38%
- Google AI ModeQdrant listed first: 65%Redis listed first: 35%
- ChatGPT SearchQdrant listed first: 55%Redis listed first: 45%
