Published method
Public Vector Databases brand benchmark
4-vector-database-platforms-2026-07-27-models-64232fd32583
Version
Jul 27, 2026
Published
7
Boards
public-vector-database-platforms
Method ID
Where the facts come from
- Providers
- Provider
openai
- Configured Model
openai/gpt-4o-mini
- Provider
anthropic
- Configured Model
anthropic/claude-haiku-4-5
- Provider
gemini
- Configured Model
google/gemini-2.5-flash
- Provider Views
- Provider
openai
- Board Slug
vector-database-platforms-brand-openai-visibility
- Primary Metric Slug
public-prompt-openai-brand-recommendation-presence
- Provider
anthropic
- Board Slug
vector-database-platforms-brand-anthropic-visibility
- Primary Metric Slug
public-prompt-anthropic-brand-recommendation-presence
- Provider
gemini
- Board Slug
vector-database-platforms-brand-gemini-visibility
- Primary Metric Slug
public-prompt-gemini-brand-recommendation-presence
- Provider Matrix Version
64232fd32583
How the order is produced
recommendation-prompt presence descending; mention coverage, engine breadth, mention share, citation share, then entity slug
When the method reruns
- The prompt boards are re-run in rotation, about one category a day, so each board refreshes every few weeks and shows the date of its snapshot.
Boards
Boards using this version
| Board | Primary measure | Rows | Confidence | Snapshot | Board version | Refresh | Board |
|---|---|---|---|---|---|---|---|
| Vector database platform rank | public-prompt-brand-recommendation-presence | 16 | 100% | Sep 12, 2026 | 4-vector-database-platforms-2026-07-27-models-64232fd32583 | Rotating schedule | Open the board: Vector database platform rank |
| Vector database platform presence | public-prompt-brand-mention-coverage | 16 | 100% | Sep 12, 2026 | 4-vector-database-platforms-2026-07-27-models-64232fd32583 | Rotating schedule | Open the board: Vector database platform presence |
| Vector database citation share | public-prompt-brand-citation-share | 16 | 100% | Sep 12, 2026 | 4-vector-database-platforms-2026-07-27-models-64232fd32583 | Rotating schedule | Open the board: Vector database citation share |
| Vector database engine breadth | public-prompt-brand-engine-breadth | 16 | 100% | Sep 12, 2026 | 4-vector-database-platforms-2026-07-27-models-64232fd32583 | Rotating schedule | Open the board: Vector database engine breadth |
| Vector databases in OpenAI model API answers | public-prompt-openai-brand-recommendation-presence | 16 | 100% | Sep 12, 2026 | 4-vector-database-platforms-2026-07-27-models-64232fd32583 | Rotating schedule | Open the board: Vector databases in OpenAI model API answers |
| Vector databases in Anthropic model API answers | public-prompt-anthropic-brand-recommendation-presence | 16 | 100% | Sep 12, 2026 | 4-vector-database-platforms-2026-07-27-models-64232fd32583 | Rotating schedule | Open the board: Vector databases in Anthropic model API answers |
| Vector databases in Gemini model API answers | public-prompt-gemini-brand-recommendation-presence | 16 | 100% | Sep 12, 2026 | 4-vector-database-platforms-2026-07-27-models-64232fd32583 | Rotating schedule | Open the board: Vector databases in Gemini model API answers |
Versioned contract
Complete measurement ledger
Cohort
Not specified.
Prompts
- Slug
best-managed-vector-database-production-rag
- Text
What are the best managed vector database platforms for a production retrieval-augmented generation application?
- Intent
recommendation
- Slug
best-open-source-self-hosted-vector-database
- Text
Recommend an open-source vector database that an engineering team can self-host in its own cloud account.
- Intent
recommendation
- Slug
enterprise-vector-retrieval-private-networking
- Text
Which enterprise vector retrieval services offer private networking, access controls, compliance, and regional deployment?
- Intent
recommendation
- Slug
best-hybrid-keyword-semantic-retrieval
- Text
What is the best production data platform for combining keyword retrieval, semantic retrieval, metadata filters, and reranking?
- Intent
recommendation
- Slug
multimodal-vector-retrieval-platform
- Text
Recommend a vector retrieval platform for searching text, images, audio, and other multimodal embeddings.
- Intent
recommendation
- Slug
multi-tenant-vector-database-saas
- Text
Which vector database is best for a multi-tenant SaaS product that needs namespace isolation and filtered retrieval?
- Intent
recommendation
- Slug
billion-vector-low-latency-search
- Text
Recommend a low-latency vector search system for a workload that may grow to billions of embeddings.
- Intent
recommendation
- Slug
serverless-vector-database-startup
- Text
What is the best serverless or usage-based vector database for a startup with an unpredictable retrieval workload?
- Intent
recommendation
- Slug
vector-database-pricing-comparison
- Text
How should a team compare vector database pricing across storage, ingestion, read throughput, replicas, and idle capacity?
- Intent
commercial
- Slug
dedicated-vector-database-vs-existing-database
- Text
When should a team buy a dedicated vector database instead of adding embedding search to its existing operational database?
- Intent
commercial
- Slug
vector-database-buying-criteria
- Text
Which buying criteria matter most for production vector retrieval, including recall, latency, filtering, durability, and operations?
- Intent
commercial
- Slug
evaluate-vector-benchmark-claims
- Text
How should an engineering team evaluate vector search benchmark claims for recall, tail latency, throughput, scale, and total cost?
- Intent
commercial
Category
vector-database-platforms
Providers
- Provider
openai
- Configured Model
openai/gpt-4o-mini
- Provider
anthropic
- Configured Model
anthropic/claude-haiku-4-5
- Provider
gemini
- Configured Model
google/gemini-2.5-flash
Cost Policy
- Cost Basis
Provider-reported LLM cost returned by the existing AI Rank provider/cache layer.
- Maximum Daily Billed Cost Usd
2.00
- Maximum Daily Provider Calls
60
- Maximum Daily Provider Attempts Including Retries
72
Limitations
- This is one response per prompt/provider pair in each run; model output can vary between runs.
- The fixed 12-prompt Vector Databases category does not estimate general market share or brand awareness.
- Presence share and citation share are relative only to the reviewed 16-brand universe; untracked brands are excluded from those denominators.
- OpenAI, Anthropic, and Google are both evaluated brands and configured model providers; no self-provider bias correction is applied.
Rank Formula
recommendation-prompt presence descending; mention coverage, engine breadth, mention share, citation share, then entity slug
Answer Policy
- Published Evidence
answer hashes, deterministic bounded brand counts, and deduplicated URL-derived citation counts
- Full Provider Answers Published
No
- Full Provider Answers Stored In Public Index
No
Corpus Version
vector-database-platforms-2026-07-27
Provider Views
- Provider
openai
- Board Slug
vector-database-platforms-brand-openai-visibility
- Primary Metric Slug
public-prompt-openai-brand-recommendation-presence
- Provider
anthropic
- Board Slug
vector-database-platforms-brand-anthropic-visibility
- Primary Metric Slug
public-prompt-anthropic-brand-recommendation-presence
- Provider
gemini
- Board Slug
vector-database-platforms-brand-gemini-visibility
- Primary Metric Slug
public-prompt-gemini-brand-recommendation-presence
Runner Version
4
Canonical Brands
- Name
Pinecone
- Aliases
- Pinecone
- Entity Slug
pinecone
- Primary Domain
pinecone.io
- Citation Domains
- pinecone.io
- docs.pinecone.io
- Case Sensitive Aliases
- Name
Weaviate
- Aliases
- Weaviate
- Weaviate Cloud
- Entity Slug
weaviate
- Primary Domain
weaviate.io
- Citation Domains
- weaviate.io
- Case Sensitive Aliases
- Name
Qdrant
- Aliases
- Qdrant
- Qdrant Cloud
- Entity Slug
qdrant
- Primary Domain
qdrant.tech
- Citation Domains
- qdrant.tech
- cloud.qdrant.io
- Case Sensitive Aliases
- Name
Zilliz Cloud / Milvus
- Aliases
- Zilliz Cloud
- Zilliz
- Milvus
- Entity Slug
zilliz-milvus
- Primary Domain
zilliz.com
- Citation Domains
- zilliz.com
- docs.zilliz.com
- milvus.io
- Case Sensitive Aliases
- Name
Elasticsearch
- Aliases
- Elasticsearch
- Elastic Cloud
- Entity Slug
elasticsearch
- Primary Domain
elastic.co
- Citation Domains
- elastic.co
- Case Sensitive Aliases
- Name
MongoDB Atlas Vector Search
- Aliases
- MongoDB Atlas Vector Search
- Atlas Vector Search
- MongoDB Atlas
- Entity Slug
mongodb-atlas-vector-search
- Primary Domain
mongodb.com
- Citation Domains
- mongodb.com
- docs.mongodb.com
- Case Sensitive Aliases
- Name
Redis
- Aliases
- Redis
- Redis Cloud
- Entity Slug
redis
- Primary Domain
redis.io
- Citation Domains
- redis.io
- Case Sensitive Aliases
- Name
Supabase Vector
- Aliases
- Supabase Vector
- Supabase
- Entity Slug
supabase-vector
- Primary Domain
supabase.com
- Citation Domains
- supabase.com
- Case Sensitive Aliases
- Name
Google Vertex AI Vector Search
- Aliases
- Google Vertex AI Vector Search
- Vertex AI Vector Search
- Entity Slug
google-vertex-ai-vector-search
- Primary Domain
cloud.google.com
- Citation Domains
- cloud.google.com
- Case Sensitive Aliases
- Name
Amazon OpenSearch Service
- Aliases
- Amazon OpenSearch Service
- AWS OpenSearch
- OpenSearch
- Entity Slug
amazon-opensearch-service
- Primary Domain
aws.amazon.com
- Citation Domains
- aws.amazon.com
- docs.aws.amazon.com
- opensearch.org
- Case Sensitive Aliases
- Name
Azure AI Search
- Aliases
- Azure AI Search
- Microsoft Azure AI Search
- Entity Slug
azure-ai-search
- Primary Domain
azure.microsoft.com
- Citation Domains
- azure.microsoft.com
- learn.microsoft.com
- Case Sensitive Aliases
- Name
Vespa
- Aliases
- Vespa.ai
- Vespa
- Entity Slug
vespa
- Primary Domain
vespa.ai
- Citation Domains
- vespa.ai
- docs.vespa.ai
- Case Sensitive Aliases
- Vespa
- Name
Chroma
- Aliases
- ChromaDB
- Chroma
- Entity Slug
chroma
- Primary Domain
trychroma.com
- Citation Domains
- trychroma.com
- docs.trychroma.com
- Case Sensitive Aliases
- Chroma
- Name
LanceDB
- Aliases
- LanceDB
- LanceDB Cloud
- Entity Slug
lancedb
- Primary Domain
lancedb.com
- Citation Domains
- lancedb.com
- docs.lancedb.com
- Case Sensitive Aliases
- Name
Turbopuffer
- Aliases
- Turbopuffer
- Entity Slug
turbopuffer
- Primary Domain
turbopuffer.com
- Citation Domains
- turbopuffer.com
- Case Sensitive Aliases
- Name
Cloudflare Vectorize
- Aliases
- Cloudflare Vectorize
- Vectorize
- Entity Slug
cloudflare-vectorize
- Primary Domain
cloudflare.com
- Citation Domains
- cloudflare.com
- developers.cloudflare.com
- Case Sensitive Aliases
- Vectorize
Benchmark Version
4-vector-database-platforms-2026-07-27-models-64232fd32583
Evaluation Surface
- Search
A common Rank.ai web-search tool is available to all three configured models.
- Gateway
Rank.ai's configured OpenRouter-compatible gateway
- Not Consumer Products
Results measure the configured model/API runs, not the ChatGPT, Claude, or Gemini consumer application interfaces.
Strict Completeness
- Prompt Count
12
- Provider Count
3
- Required Successful Runs
36
Measurement Semantics
- Confidence
A value of 1.0 means the complete frozen cohort passed the deterministic extraction and publication gates; it is not a statistical confidence interval.
- Citation Share Denominator
Distinct answer-level HTTP(S) citation URLs whose URL-derived hostname matches any reviewed brand domain.
- Presence Share Denominator
The sum of reviewed-brand answer-presences. One answer may contribute presence to multiple brands.
- Mention Coverage Denominator
36 answers: all 12 prompts multiplied by 3 configured providers.
- Provider Citation Share Denominator
Distinct reviewed-brand-domain citations within the named configured model API provider's 20-answer cohort.
- Recommendation Presence Denominator
24 answers: recommendation-intent prompts multiplied by 3 configured providers.
- Provider Mention Coverage Denominator
12 prompts for the named configured model API provider.
- Provider Recommendation Presence Denominator
8 recommendation-intent prompts for the named configured model API provider.
Provider Matrix Version
64232fd32583
Recommendation Semantics
Presence means mentioned or cited in an answer to a recommendation-intent prompt. It does not claim positive recommendation, endorsement, or sentiment.
See how often AI names you.
Enter your website. In about two minutes, Rank.ai asks ChatGPT, Claude and Gemini 12 questions your customers ask and grades how often they name you.
- Your grade out of 100How often AI names you, cites your site, and how high it ranks you.
- Who gets namedEvery competitor in the answers, most named first.
- The pages AI readsThe sources behind each answer.
- Three fixesWhat to fix first, with a brief for the first article.