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Index › IT › Data platform › Vector databases · November 2026 Edition

Vector databases

Name: AI model recommendations for vector databases, November 2026 Edition
Creator: Gane
Published: 2026-11-01
License: https://creativecommons.org/licenses/by/4.0/

Asked as “vector database”, and as “vector search database for AI applications”, on behalf of a mid-market B2B company. 56 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.

Standing · first-choice share

34%

Qdrantand pgvector

Contested · pgvector 34%

34Qdrant34pgvector21Pinecone11others

34% of first choices, contested.

Since October 2026↗new leaderNew leader since October 2026: Qdrant (34%) replaces pgvector (35% then, 34% now), 0 points clear, inside the 11-point floor.Qdrant leads at 34%, replacing pgvector, which led at 35% and stands at 34% now: 0 points clear, inside the floor, so the swap reads as unsettled.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.

Small business

pgvector35%Contested▼−14Since October 2026: 49% → 35%, −14 points. Past the 11-point floor: movement.Standing →Mid-market

Qdrant34%Contested↗new leaderNew leader since October 2026: Qdrant (34%) replaces pgvector (35% then, 34% now), 0 points clear, inside the 11-point floor.This page Enterprise

Pinecone45%Clear leader▼−14Since October 2026: 59% → 45%, −14 points. Past the 11-point floor: movement.Standing →

The standing

Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for a mid-market B2B company. Ordered by share.

ProductFirst-choice shareNegative rateLabelsQuadrantSince October 2026

Qdrant1%73endorsed leader▲+12Since October 2026: 22% → 34%, +12 points. Past the 11-point floor: movement.22% → 34%

pgvector8%73endorsed leader▼−1Since October 2026: 35% → 34%, −1 point. Inside the 11-point floor: within noise.35% → 34%

Pinecone23%65accepted challenger▼−4Since October 2026: 25% → 21%, −4 points. Inside the 11-point floor: within noise.25% → 21%

Weaviate12%60accepted challenger=heldSince October 2026: 5% → 5%, ±0 points. Inside the 11-point floor: within noise.5% → 5%

Milvus19%43accepted challenger▼−1Since October 2026: 3% → 2%, −1 point. Inside the 11-point floor: within noise.3% → 2%

06Elasticsearch0%11accepted challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise.0% → 2%

Show the five products at 0%, ordered by negative rate

11FAISS47%15criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%

Milvus / Zilliz Cloud40%10criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%

Chroma36%39criticized challenger▼−6Since October 2026: 6% → 0%, −6 points. Inside the 11-point floor: within noise.6% → 0%

09Redis Vector Search18%11accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%

LanceDB8%12accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%

The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one can't be told apart from repeat variation, and both are shown. Each index measures its own floor from its own repeat, over its own categories, so the floor differs from one index to the next. Both editions asked the same fourteen models. How the floor is measured

Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.

For buyers

Build your shortlist

Head to head

Qdrant vs pgvector Qdrant vs Pinecone Qdrant vs Weaviate

All fifteen head-to-head pages: the top six products, each against each

Qdrant vs Milvus Qdrant vs Elasticsearch pgvector vs Pinecone pgvector vs Weaviate pgvector vs Milvus pgvector vs Elasticsearch Pinecone vs Weaviate Pinecone vs Milvus Pinecone vs Elasticsearch Weaviate vs Milvus Weaviate vs Elasticsearch Milvus vs Elasticsearch

Recommended versus criticized

Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.

Criticized challengerCriticized default

Negative label rate →

E06

R09

F11

Accepted challengerEndorsed leader

0%First-choice share → · lines at 30% share and 25% negative50%

Key

Qdrant34%

pgvector34%

Pinecone21%

Weaviate5%

Milvus2%

06Elasticsearch2%

LanceDB0%

Chroma0%

09Redis Vector Search0%

Milvus / Zilliz Cloud0%

11FAISS0%

What they warned about

Four of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, Gemini 3.5 Flash, Perplexity Sonar, Grok 4.20, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2 and MiniMax M2.5 changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.

Chroma

36%

14 of 39 labels negative · 11 of 14 models · 4 hard negative

“Chroma in exposed or multi-tenant production: ... Chroma has no built-in login; do not expose it directly to the internet” Perplexity Sonar, negative prompt

Pinecone

23%

15 of 65 labels negative · 9 of 14 models · 3 hard negative

“Avoid for a limited budget: Pinecone — managed services with $50 minimums and costs that blow past initial estimates” DeepSeek V4 Flash, budget prompt

Milvus

19%

8 of 43 labels negative · 7 of 14 models

“Milvus for small or moderate workloads: ... it can require substantially more memory and operational complexity than lighter alternatives” Perplexity Sonar, negative prompt

pgvector

6 of 73 labels negative · 6 of 14 models

“pgvector does not natively support GPU acceleration or disk-optimized indexes, and at billion-scale workloads typically require more advanced sharding strategies” Claude Haiku 4.5, negative prompt

What they cite

Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted.

Sites the answers cite

71 of 84 answers in this category came back with a source list, from 14 of 14 models: citations where the model returns them, or the search results it consulted. 740 links across 232 sites, every framing counted. Ranked by the number of answers carrying the site or page. 35 of the 252 answers across every segment cited this index's own page for the category; the method page measures whether that reading tilts an answer.

github.com

vendor site · GitHub41 answers · 89 citations · 11 models

dev.to

26 answers · 45 citations · 11 models

linkedin.com

vendor site · LinkedIn16 answers · 22 citations · 8 models

g2.com

vendor site · G216 answers · 16 citations · 8 models

pingcap.com

15 answers · 15 citations · 9 models

gane.ai/index

publisher (Gane)13 answers · 19 citations · 7 models

qdrant.tech

vendor site · Qdrant13 answers · 16 citations · 5 models

geekflare.com

13 answers · 13 citations · 8 models

milvus.io

vendor site · Milvus12 answers · 14 citations · 8 models

pinecone.io

vendor site · Pinecone11 answers · 19 citations · 7 models

redis.io

vendor site · Redis11 answers · 19 citations · 8 models

actian.com

vendor site · Actian11 answers · 14 citations · 8 models

Pages the answers cite

The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.

g2.com/articles/best-vector-databases

15 answers · 7 models

geekflare.com/open-source/vector-database

13 answers · 8 models

pingcap.com/compare/best-vector-database

12 answers · 8 models

gane.ai/index/it/it-data/vector-databases

11 answers · 6 models

github.com/ishandutta2007/Awesome-Vector-Database-Semantic-Search

9 answers · 6 models

sganalytics.com/blog/top-vector-databases-enterprise-ai

9 answers · 5 models

ciopages.com/buyer-guides/vector-database

8 answers · 7 models

pureinsights.com/blog/2024/comparing-vector-search-solutions-2024

8 answers · 6 models

atlan.com/know/top-vector-databases-enterprise-ai

7 answers · 4 models

gane.ai/index/it/vendors/pgvector

7 answers · 7 models

Search against answers

Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best vector database”, “vector database”, “vector databases”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.

Company and products	Share	Own site cited	Name searches, Google	AI search demand, est.	Organic visits	Google ads, last 30 days	Best Google position
Qdrant qdrant.tech	34%	186	6,600	180	8,064	24
pgvector pgvector.app	34%	172	5,400	119
Pinecone pinecone.io	21%	188	60,500	3,929	90,633	14	4
Weaviate weaviate.io	5%	158	2,900	54	5,054
Milvus milvus.io Milvus 2%, Milvus / Zilliz Cloud 0%	2%	96	3,600	169	52,360
Elasticsearch	2%		12,100	2,798
PostgreSQL postgresql.org PostgreSQL plus `pgvector` 2%	2%	2	74,000	14,143	465,585 company
LanceDB lancedb.com	0%	29	2,900	30	1,213	18
Chroma trychroma.com	0%	95	33,100	7,156	2,101	0
ChromaDB chromadb.dev	0%	13	4,400	116

Google's top ten for the three searches hold 16 sites; 2 of them are among the sites the models cited here (g2.com, pinecone.io). The first result for “best vector database” is zenml.io.

How they answered

Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.

ShowHide

ModelDirect“What is the best vector database for a mid-market B2B company?”Paraphrase“Which vector search database for AI applications would you recommend to a mid-sized B2B company?”Comparative“What are the top vector databases and how do they differ?”Budget-constrained“What is the best vector database for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a vector database. What should we look at?”Negative“Which vector databases should I avoid or be cautious about?”

Claude Haiku 4.5Qdrant

Four alternatives

MongoDB Atlas Vector Search, Pinecone, Weaviate, pgvector

PineconeChanged

Two alternatives

Qdrant, Weaviate

no first choiceQdrant

Four alternatives

Chroma, Milvus, Weaviate, pgvector

pgvectoragainst: Chroma, MyScaleDB, SQLite-vec, pgvector

GPT-5.4 miniPinecone

Three alternatives

Qdrant, Weaviate, pgvector

PineconeHeld

Four alternatives

Milvus, OpenSearch, Qdrant, pgvector

Pinecone

Six alternatives

Chroma, Milvus, Qdrant, Vespa, Weaviate, pgvector

pgvector

Two alternatives

Qdrant, Weaviate

against: Milvusno first choicenothing named

Gemini 3.5 FlashPinecone, Qdrant

Two alternatives

Weaviate, pgvector

pgvectorChanged

Three alternatives

Pinecone, Qdrant, Weaviate

Pinecone

Five alternatives

ChromaDB, Milvus, Qdrant, Weaviate, pgvector

pgvector

Four alternatives

ChromaDB, LanceDB, Pinecone, Qdrant

Pinecone, Qdrant

Three alternatives

Milvus / Zilliz Cloud, Weaviate, pgvector

against: Annoy, Chroma, Elasticsearch / OpenSearch, FAISS, HNSWlib, Milvus, Pinecone, Redis Vector Search, pgvector

Perplexity Sonarpgvector

Two alternatives

Pinecone, Qdrant

against: Milvus / Zilliz CloudPostgreSQL plus `pgvector`Changed

Six alternatives

Azure AI Search, Elasticsearch, Milvus / Zilliz Cloud, Pinecone, Qdrant, Weaviate

Pinecone, Qdrant

Five alternatives

Chroma, Elasticsearch, Milvus, Weaviate, pgvector

against: FAISSQdrant

Two alternatives

Chroma, pgvector

against: Pineconeno first choice

Two alternatives

Elasticsearch / OpenSearch, pgvector

against: Chroma, Milvus, Pinecone

Grok 4.20Qdrant

Three alternatives

Pinecone, Weaviate, pgvector

against: Chroma, Milvus / Zilliz CloudPineconeChanged

Four alternatives

Milvus / Zilliz Cloud, Qdrant, Weaviate, pgvector

against: Elasticsearch / OpenSearch, MongoDB Atlas Vector Searchno first choice

Seven alternatives

Chroma, Elasticsearch, Milvus, Pinecone, Qdrant, Weaviate, pgvector

pgvector

Two alternatives

Chroma, Qdrant

against: FAISS, Milvus, Pinecone, Weaviateno first choice

Five alternatives

Milvus, Pinecone, Qdrant, Weaviate, pgvector

against: FAISSagainst: Chroma, FAISS, LanceDB, OpenSearch, Pinecone, Weaviate

Mistral SmallPinecone

Three alternatives

Qdrant, Weaviate, pgvector

Pinecone, QdrantChanged

Two alternatives

Milvus / Zilliz Cloud, Weaviate

no first choiceQdrant, pgvector

Two alternatives

Chroma, LanceDB

no first choicenothing named

DeepSeek V4 Flashpgvector

Two alternatives

Pinecone, Qdrant

QdrantChanged

Two alternatives

Pinecone, pgvector

Milvus / Zilliz Cloud, Qdrant

Three alternatives

Pinecone, Weaviate, pgvector

against: ChromaQdrant, pgvector

Two alternatives

Chroma, LanceDB

against: Pinecone, WeaviateQdrant

Five alternatives

Elasticsearch, Milvus, OpenSearch, Weaviate, pgvector

against: Pineconeagainst: Chroma, Milvus, Pinecone, Weaviate, pgvector

Llama 4 MaverickQdrant

Three alternatives

Pinecone, Weaviate, pgvector

ElasticsearchChanged

Four alternatives

Milvus, Qdrant, Zilliz Cloud, pgvector

against: Pineconeno first choicepgvector

Two alternatives

Milvus, Qdrant

no first choicenothing named

Qwen 3.7 Flashpgvector

Two alternatives

Pinecone, Qdrant

WeaviateChanged

Four alternatives

MongoDB Atlas Vector Search, Pinecone, Qdrant, pgvector

Pinecone

Seven alternatives

Chroma, Elastic, Milvus, OpenSearch, Qdrant, Weaviate, pgvector

pgvector

Five alternatives

Chroma, Cloudflare Vectorize, Milvus, Qdrant, Weaviate

against: Pineconeno first choiceagainst: Chroma, FAISS, Milvus / Zilliz Cloud, Pinecone, Scannet, Weaviate

Kimi K2pgvector

Two alternatives

Pinecone, Qdrant

against: Zilliz CloudWeaviateChanged

Two alternatives

Pinecone, pgvector

Pinecone

Five alternatives

Chroma, Milvus, Qdrant, Weaviate, pgvector

Qdrant, pgvector

Two alternatives

Chroma, Weaviate

Milvus, Qdrant

Three alternatives

Pinecone, Weaviate, pgvector

against: Chroma, Milvus, Pinecone

GLM 4.7 FlashXPinecone

Three alternatives

Milvus, Qdrant, Weaviate

PineconeHeld

Three alternatives

Milvus / Zilliz Cloud, Qdrant, Weaviate

Qdrant, Weaviate

Five alternatives

Chroma, Milvus, OpenSearch / Elasticsearch, Pinecone, pgvector

pgvector

Two alternatives

ChromaDB, Qdrant

against: Milvus, Weaviateno first choiceagainst: Chroma, Milvus, Redis Vector Search, pgvector

MiniMax M2.5Qdrant, Weaviate

Three alternatives

Milvus, Pinecone, pgvector

against: ChromaQdrantChanged

Two alternatives

Pinecone, pgvector

no first choice

Six alternatives

Chroma, FAISS, Milvus, Pinecone, Qdrant, Weaviate

pgvector

Three alternatives

ChromaDB, LanceDB, Qdrant

against: Pinecone, Weaviateno first choiceagainst: Annoy, FAISS

GPT-6 LunaQdrant

Two alternatives

Pinecone, pgvector

QdrantHeld

One alternative

pgvector

no first choice

Six alternatives

Chroma, Milvus, Pinecone, Qdrant, Weaviate, pgvector

pgvector

One alternative

Qdrant

no first choice

Five alternatives

Elasticsearch, Milvus, Qdrant, Weaviate, pgvector

against: Chroma, Firestore vector search, pgvector

Muse Glimmer 30BPinecone, pgvector

Three alternatives

Milvus, Qdrant, Weaviate

Pinecone, pgvectorHeld

Four alternatives

Chroma, Lakebase, Milvus, Qdrant

no first choice

Five alternatives

Milvus, Pinecone, Qdrant, Weaviate, pgvector

against: ChromaQdrant

Two alternatives

Chroma, pgvector

against: Pineconeno first choice

Eight alternatives

Milvus, OpenSearch Service, Pinecone, Qdrant, Redis Vector Search, Weaviate, Zilliz Cloud, pgvector

against: Chroma, Milvus / Zilliz Cloud, Pinecone, Qdrant, pgvector

Bold is the first choiceAlternatives are counted; the count opens them.What the answer argued against

The record

One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency.

Eighty-four rows: every prompt, every model, every answer.

Prompt	Model	Version string	Time (UTC)	Searched	Sources	Latency
Direct recommendation	Claude Haiku 4.5	`claude-haiku-4-5-20251001`	2026-11-01 16:14	yes	9	9 s
Direct recommendation	GPT-5.4 mini	`gpt-5.4-mini-2026-03-17`	2026-11-01 16:25	no	0	4 s
Direct recommendation	Gemini 3.5 Flash	`gemini-3.6-flash` (asked for `gemini-3.5-flash`; the API answered as this version)	2026-11-01 19:14	no	0	14 s
Direct recommendation	Perplexity Sonar	`sonar`	2026-11-01 17:18	yes	10	4 s
Direct recommendation	Grok 4.20	`spacexai/grok-4.20-non-reasoning via xai`	2026-11-01 16:04	yes	15	17 s
Direct recommendation	Mistral Small	`mistral/mistral-small via mistral`	2026-11-01 13:08	yes	5	5 s
Direct recommendation	DeepSeek V4 Flash	`deepseek/deepseek-v4-flash via deepinfra`	2026-11-01 12:43	yes	24	49 s
Direct recommendation	Llama 4 Maverick	`meta/llama-4-maverick via bedrock`	2026-11-01 09:27	yes	5	3 s
Direct recommendation	Qwen 3.7 Flash	`alibaba/qwen3.7-flash via alibaba`	2026-11-01 18:30	yes	5	22 s
Direct recommendation	Kimi K2	`moonshotai/kimi-k2 via novita`	2026-11-01 10:13	yes	10	20 s
Direct recommendation	GLM 4.7 FlashX	`zai/glm-4.7-flashx via zai`	2026-11-01 17:40	yes	14	73 s
Direct recommendation	MiniMax M2.5	`minimax/minimax-m2.5 via minimax`	2026-11-01 09:13	no	0	19 s
Direct recommendation	GPT-6 Luna	`gpt-6-luna`	2026-11-01 13:18	yes	3	13 s
Direct recommendation	Muse Glimmer 30B	`meta/muse-glimmer-30b via togetherai`	2026-11-01 18:20	yes	15	24 s
Paraphrase	Claude Haiku 4.5	`claude-haiku-4-5-20251001`	2026-11-01 12:43	yes	18	9 s
Paraphrase	GPT-5.4 mini	`gpt-5.4-mini-2026-03-17`	2026-11-01 18:15	yes	4	6 s
Paraphrase	Gemini 3.5 Flash	`gemini-3.6-flash` (asked for `gemini-3.5-flash`; the API answered as this version)	2026-11-01 18:07	no	0	21 s
Paraphrase	Perplexity Sonar	`sonar`	2026-11-01 18:08	yes	10	4 s
Paraphrase	Grok 4.20	`spacexai/grok-4.20-non-reasoning via xai`	2026-11-01 15:53	yes	5	10 s
Paraphrase	Mistral Small	`mistral/mistral-small via mistral`	2026-11-01 13:16	yes	5	7 s
Paraphrase	DeepSeek V4 Flash	`deepseek/deepseek-v4-flash via deepinfra`	2026-11-01 12:04	yes	23	26 s
Paraphrase	Llama 4 Maverick	`meta/llama-4-maverick via bedrock`	2026-11-01 13:00	yes	5	2 s
Paraphrase	Qwen 3.7 Flash	`alibaba/qwen3.7-flash via alibaba`	2026-11-01 17:55	yes	5	27 s
Paraphrase	Kimi K2	`moonshotai/kimi-k2 via novita`	2026-11-01 15:16	yes	20	22 s
Paraphrase	GLM 4.7 FlashX	`zai/glm-4.7-flashx via zai`	2026-11-01 12:11	yes	24	63 s
Paraphrase	MiniMax M2.5	`minimax/minimax-m2.5 via minimax`	2026-11-01 16:40	yes	5	21 s
Paraphrase	GPT-6 Luna	`gpt-6-luna`	2026-11-01 19:25	yes	2	17 s
Paraphrase	Muse Glimmer 30B	`meta/muse-glimmer-30b via togetherai`	2026-11-01 10:33	yes	15	20 s
Comparative	Claude Haiku 4.5	`claude-haiku-4-5-20251001`	2026-11-01 12:01	yes	9	8 s
Comparative	GPT-5.4 mini	`gpt-5.4-mini-2026-03-17`	2026-11-01 19:19	yes	7	8 s
Comparative	Gemini 3.5 Flash	`gemini-3.6-flash` (asked for `gemini-3.5-flash`; the API answered as this version)	2026-11-01 09:18	yes	7	20 s
Comparative	Perplexity Sonar	`sonar`	2026-11-01 15:51	yes	10	5 s
Comparative	Grok 4.20	`spacexai/grok-4.20-non-reasoning via xai`	2026-11-01 15:54	yes	5	17 s
Comparative	Mistral Small	`mistral/mistral-small via mistral`	2026-11-01 11:51	yes	9	9 s
Comparative	DeepSeek V4 Flash	`deepseek/deepseek-v4-flash via deepinfra`	2026-11-01 12:09	yes	19	38 s
Comparative	Llama 4 Maverick	`meta/llama-4-maverick via bedrock`	2026-11-01 13:08	yes	5	2 s
Comparative	Qwen 3.7 Flash	`alibaba/qwen3.7-flash via alibaba`	2026-11-01 11:48	yes	10	35 s
Comparative	Kimi K2	`moonshotai/kimi-k2 via novita`	2026-11-01 16:07	yes	10	26 s
Comparative	GLM 4.7 FlashX	`zai/glm-4.7-flashx via zai`	2026-11-01 09:23	yes	24	31 s
Comparative	MiniMax M2.5	`minimax/minimax-m2.5 via minimax`	2026-11-01 09:21	yes	5	24 s
Comparative	GPT-6 Luna	`gpt-6-luna`	2026-11-01 18:49	yes	6	23 s
Comparative	Muse Glimmer 30B	`meta/muse-glimmer-30b via togetherai`	2026-11-01 18:09	yes	13	21 s
Budget constrained	Claude Haiku 4.5	`claude-haiku-4-5-20251001`	2026-11-01 15:45	yes	9	8 s
Budget constrained	GPT-5.4 mini	`gpt-5.4-mini-2026-03-17`	2026-11-01 12:25	yes	3	5 s
Budget constrained	Gemini 3.5 Flash	`gemini-3.6-flash` (asked for `gemini-3.5-flash`; the API answered as this version)	2026-11-01 17:51	no	0	17 s
Budget constrained	Perplexity Sonar	`sonar`	2026-11-01 14:21	yes	10	3 s
Budget constrained	Grok 4.20	`spacexai/grok-4.20-non-reasoning via xai`	2026-11-01 19:03	yes	5	10 s
Budget constrained	Mistral Small	`mistral/mistral-small via mistral`	2026-11-01 12:42	yes	5	4 s
Budget constrained	DeepSeek V4 Flash	`deepseek/deepseek-v4-flash via deepinfra`	2026-11-01 15:45	yes	14	26 s
Budget constrained	Llama 4 Maverick	`meta/llama-4-maverick via bedrock`	2026-11-01 17:24	yes	5	2 s
Budget constrained	Qwen 3.7 Flash	`alibaba/qwen3.7-flash via alibaba`	2026-11-01 08:38	yes	5	18 s
Budget constrained	Kimi K2	`moonshotai/kimi-k2 via novita`	2026-11-01 16:09	yes	9	33 s
Budget constrained	GLM 4.7 FlashX	`zai/glm-4.7-flashx via zai`	2026-11-01 12:23	yes	14	21 s
Budget constrained	MiniMax M2.5	`minimax/minimax-m2.5 via minimax`	2026-11-01 10:01	yes	10	36 s
Budget constrained	GPT-6 Luna	`gpt-6-luna`	2026-11-01 12:01	yes	2	8 s
Budget constrained	Muse Glimmer 30B	`meta/muse-glimmer-30b via togetherai`	2026-11-01 10:02	yes	14	24 s
Scale constrained	Claude Haiku 4.5	`claude-haiku-4-5-20251001`	2026-11-01 08:46	yes	9	9 s
Scale constrained	GPT-5.4 mini	`gpt-5.4-mini-2026-03-17`	2026-11-01 13:05	no	0	6 s
Scale constrained	Gemini 3.5 Flash	`gemini-3.6-flash` (asked for `gemini-3.5-flash`; the API answered as this version)	2026-11-01 16:22	no	0	20 s
Scale constrained	Perplexity Sonar	`sonar`	2026-11-01 10:25	yes	10	7 s
Scale constrained	Grok 4.20	`spacexai/grok-4.20-non-reasoning via xai`	2026-11-01 13:50	yes	5	16 s
Scale constrained	Mistral Small	`mistral/mistral-small via mistral`	2026-11-01 10:38	no	0	10 s
Scale constrained	DeepSeek V4 Flash	`deepseek/deepseek-v4-flash via deepinfra`	2026-11-01 16:28	yes	25	50 s
Scale constrained	Llama 4 Maverick	`meta/llama-4-maverick via bedrock`	2026-11-01 15:23	yes	5	4 s
Scale constrained	Qwen 3.7 Flash	`alibaba/qwen3.7-flash via alibaba`	2026-11-01 18:10	no	0	32 s
Scale constrained	Kimi K2	`moonshotai/kimi-k2 via novita`	2026-11-01 18:14	yes	19	43 s
Scale constrained	GLM 4.7 FlashX	`zai/glm-4.7-flashx via zai`	2026-11-01 11:59	no	0	15 s
Scale constrained	MiniMax M2.5	`minimax/minimax-m2.5 via minimax`	2026-11-01 11:11	no	0	11 s
Scale constrained	GPT-6 Luna	`gpt-6-luna`	2026-11-01 14:35	yes	6	25 s
Scale constrained	Muse Glimmer 30B	`meta/muse-glimmer-30b via togetherai`	2026-11-01 15:35	yes	13	23 s
Negative framing	Claude Haiku 4.5	`claude-haiku-4-5-20251001`	2026-11-01 19:22	yes	18	12 s
Negative framing	GPT-5.4 mini	`gpt-5.4-mini-2026-03-17`	2026-11-01 12:38	yes	5	6 s
Negative framing	Gemini 3.5 Flash	`gemini-3.6-flash` (asked for `gemini-3.5-flash`; the API answered as this version)	2026-11-01 13:45	no	0	20 s
Negative framing	Perplexity Sonar	`sonar`	2026-11-01 09:02	yes	10	5 s
Negative framing	Grok 4.20	`spacexai/grok-4.20-non-reasoning via xai`	2026-11-01 17:46	yes	5	10 s
Negative framing	Mistral Small	`mistral/mistral-small via mistral`	2026-11-01 14:09	yes	5	6 s
Negative framing	DeepSeek V4 Flash	`deepseek/deepseek-v4-flash via deepinfra`	2026-11-01 12:51	yes	23	30 s
Negative framing	Llama 4 Maverick	`meta/llama-4-maverick via bedrock`	2026-11-01 16:57	yes	5	3 s
Negative framing	Qwen 3.7 Flash	`alibaba/qwen3.7-flash via alibaba`	2026-11-01 15:22	yes	10	28 s
Negative framing	Kimi K2	`moonshotai/kimi-k2 via novita`	2026-11-01 18:26	yes	25	54 s
Negative framing	GLM 4.7 FlashX	`zai/glm-4.7-flashx via zai`	2026-11-01 15:28	yes	24	45 s
Negative framing	MiniMax M2.5	`minimax/minimax-m2.5 via minimax`	2026-11-01 12:58	no	0	21 s
Negative framing	GPT-6 Luna	`gpt-6-luna`	2026-11-01 13:03	yes	5	15 s
Negative framing	Muse Glimmer 30B	`meta/muse-glimmer-30b via togetherai`	2026-11-01 13:45	yes	13	21 s

Normalization in this category

Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.

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Category-scoped readings

MongoDB Atlas read as MongoDB Atlas Vector Search

PostgreSQL read as pgvector

PostgreSQL (pgvector) read as pgvector

Redis read as Redis Vector Search

Redis (RedisSearch + RedisAI) read as Redis Vector Search

Unresolved, counted raw

Activeloop Deep Lake

Algolia

Firestore vector search

Lakebase

MyScaleDB

OpenSearch Service

S3 Vectors

SQLite with vector extensions

Scannet

Solr

TiDB Vector Search

Vald

Weaviate Community

Discontinued, still offered

No shut-down product was recommended here.

Vector databases

By buyer segment

The standing

Recommended versus criticized

What they warned about

What they cite

Sites the answers cite

Pages the answers cite

Search against answers

How they answered

The record

Normalization in this category

Also in data platform