What AI says about Zilliz
Zilliz provides a managed vector database platform built on Milvus that enables search across vectors, text, JSON, and geospatial data.
AI calls ithigh performance,open-source,massive scale,enterprise-grade,gpu acceleration,scalable
Since Jul 5Updated Nov 11, 2026Based on 16,282 AI answers
Reviewed by Dimitry Apollonsky
Mentioned in · Public index
1%
of AI answers about Zilliz and its rivals · since Jul 5
Based on 16,282 AI answers
- ChatGPT1%
- Google AI Mode2%
How often AI mentions Zilliz
of AI answers about Zilliz and its rivals
Track your brand free to see 13 weeks of history.
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Sep 14OctNov 2
- · ChatGPT switched to GPT-6 Luna
Zilliz products in AI answers
BrandMentioned in
Markets where AI mentions Zilliz
Mentioned inLowHighFew answers
All marketsChatGPTGoogle AI Mode
- Developer Backend & Vector Search ServicesChatGPTGoogle AI Mode
- Vector Database PlatformsChatGPTGoogle AI Mode
- Visual Search and Auto-Tagging APIsOutside both engines’ top 25
- Embedding Model APIs and ServicesOutside both engines’ top 25
- Product Search and Discovery PlatformsOutside both engines’ top 25
- LLM Security and Governance PlatformsOutside both engines’ top 25
- RAG Platforms and Retrieval ToolsOutside both engines’ top 25
- LLM Observability and Evaluation PlatformsOutside both engines’ top 25
Topics where AI mentions Zilliz
TopicMentioned in · on this topicRank
- Access-controlled semantic search
- Self-hosted open source vector database
- Backend as a service with vector search
- Hybrid vector and keyword search
- Hosted embeddings with tenant isolation
- Vector database for generative AI
- Time-filtered vector analysis
- Managed embedding generation
- Vector-based recommendation AI for conversion
- Managed embedding APIs
- Multimodal vector search
- End-to-end RAG platform with ingestion and vectorization
- RAG evaluation
- Managed enterprise RAG platform
- Semantic product search
- RAG pipeline development platform
- Most mentionedMentioned in
- We are evaluating vector databases. Who offers performance benchmarking for high-scale RAG?on this questionQdrant shares the lead for mentions with 2 more60%
Excerpts where Zilliz appeared in the AI's answer
ChatGPTSep 17, 2026, ChatGPT If you're evaluating Pinecone vs. Weaviate vs. Qdrant vs. Milvus/Zilliz vs. pgvector
ChatGPTSep 13, 2026, ChatGPT Zilliz / Milvus — VectorDBBench: probably the most directly useful reproducible benchmark suite.
- Which visual search APIs support custom product embeddings and low-latency nearest-neighbor results for catalogs with millions of images?on this questionPinecone shares the lead for mentions with 2 more33%
Excerpts where Zilliz appeared in the AI's answer
Zilliz in AI answers
1 of 8
We need to re-index millions of vectors without downtime. What vector database offers the best live re-indexing and versioning capabilities?
ChatGPTChatGPT· Oct 1, 2026
Milvus/Zilliz is also excellent if you already think in terms of large-scale ANN infrastructure.
Google AI ModeGoogle AI Mode· Nov 8, 2026
Milvus / Zilliz (Best for Large-Scale Distributed Background Indexing)
Sites AI cites
- Leaves Zilliz out14%
- Medium (opens in a new tab) · 2%Leaves Zilliz out
- Medium (opens in a new tab) · 2%
- 3 System Design Questions Every Mid-Level Dev Gets Wrong (opens in a new tab) · 2%
- Medium (opens in a new tab) · 2%
- Transforming PDFs into Insights: Vectorizing and Ingesting with Zilliz Cloud Pipelines | by Zilliz | Medium (opens in a new tab) · 2%
- Benchmarking Vector Databases: What I Learned from Pushing 500K Vectors Through Their Limits | by Alex Chen | Everyday AI | Medium (opens in a new tab) · 2%
- Your site14%
- Zilliz Vector Lakebase for Enterprise AI, Powered by Milvus (opens in a new tab) · 9%Leaves Zilliz out
- Building AI Apps with Salesforce Data: Vector Search for Smarter Insights (opens in a new tab) · 2%
- Benchmark Vector Database Performance: Techniques & Insights - Zilliz Learn (opens in a new tab) · 2%
- 9%
- 6 Vector Databases Compared: Which One Should You Use? (opens in a new tab) · 2%
- Advanced Retrieval Augmented Generation (RAG) Deep Dive (opens in a new tab) · 2%
- Evaluating Retrieval-Augmented Generation (RAG) (opens in a new tab) · 2%
- 15. Pinecone vs. Weaviate vs. Milvus vs. Qdrant (opens in a new tab) · 2%
- Leaves Zilliz out7%
- Best Vector Databases in 2026: A Complete Comparison Guide (opens in a new tab) · 7%Leaves Zilliz out
- Leaves Zilliz out5%
- Best Vector Databases in 2026: Complete Comparison Guide – Encore (opens in a new tab) · 5%Leaves Zilliz out
