Subcategory · AI Citation Index
Vector Databases
Weaviate, Qdrant, and Pinecone dominate AI shortlists at 94% each; Milvus scores highest (58) on deeper evaluation.
157 discovery queries · 486 head-to-heads · refreshed Oct 20, 2026
Discovery stage
The shortlist
Across 157 buyer-style "Vector Databases" queries
Three purpose-built vector databases—Weaviate, Qdrant, and Pinecone—appear in 94% of AI prompts (147–148 of 157), with Pinecone claiming the most total mentions (512). Milvus trails at 92% shortlist rate but leads on unCited score (58). PostgreSQL appears in 82% of shortlists, signaling pgvector's traction as an embed-in-your-stack alternative.
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Signal by intent
By topic
Top 5 most-cited brands per intent cluster. Brands with zero citations in a topic are not shown.
Evaluation stage
Head-to-head
How often AI cites each brand across uniform category evaluation prompts · median 24/100
Qdrant, Milvus, and Weaviate tie at 84/100 on average evaluation score across 48 comparison queries, outpacing Pinecone (82). Elasticsearch and OpenSearch—search-first platforms retrofitted for vectors—score 79 and 81 respectively. Zilliz Cloud (Milvus managed service) lags at 75, while Mongodb sits at 67.
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Each brand's score is the share of category evaluation prompts where AI cited them across all four engines — the same prompt pool for every brand. Brands above the median citation rate have stronger presence in evaluation-stage queries.
Brands to know
In this category
Milvus
Highest unCited score (58) and tied-best evaluation rating (84). Open-source root gives operators flexibility; Zilliz Cloud offers the managed path at lower eval scores (75).
Read brand profile →Qdrant
Tied-best evaluation score (84) with 94% shortlist rate, yet lowest unCited score (17) among top four. Rust-based architecture attracts performance-first teams.
Read brand profile →Weaviate
Leads shortlist appearances (148) and ties on evaluation (84). Score of 26 suggests strong baseline visibility but no breakout differentiation in deeper vetting.
Read brand profile →Pinecone
Most total mentions (512) and 94% shortlist rate, but evaluation score slips to 82. Fully managed SaaS positioning drives top-of-funnel volume; operational lock-in is the trade-off.
Read brand profile →PostgreSQL
82% shortlist rate via pgvector extension. No unCited score (not a standalone product), but 268 mentions prove 'add vectors to existing Postgres' resonates with risk-averse buyers.
Read brand profile →Citation sources
Where AI pulls citations from
1000 citations captured across Vector Databases prompt runs.
Vendor pages
341Product, help, and marketing pages from tracked vendors
Independent sources
534Reviews, encyclopedias, forums, press — not vendor-owned
Buyer questions
What AI cites for top Vector Databases questions
Most-cited prompts across the buyer journey. Click any prompt to see the actual URLs AI engines link to.
Discovery
Buyers exploring the categoryEvaluation
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