AI Indexes
IT AI Index
October 2026 Edition · The permanent record of this edition. The unqualified address always carries the latest edition.
Index › Data platform › Vector databases › Small business › October 2026 Edition

Vector databases for small business buyers

Asked as “vector database”, and as “vector search database for AI applications”, on behalf of a small B2B company. 59 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
49%
Clear leader
49pgvector24Pinecone17Qdrant10others

49% of first choices, clear leader.

Since September 2026▼−1Since September 2026: 46% → 45%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.pgvector held the lead, −1 point on 46%, inside the 11-point floor.

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.

The standing

Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for a small B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01pgvector49%2%65endorsed leader▼−1Since September 2026: 46% → 45%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.46% → 45%
02Pinecone24%35%71criticized challenger▲+9Since September 2026: 16% → 25%, +9 points. Inside the 11-point floor: within noise. Read over the models both editions asked.16% → 25%
03Qdrant17%3%73accepted challenger▼−13Since September 2026: 30% → 18%, −13 points. Past the 11-point floor: movement. Read over the models both editions asked.30% → 18%
04Weaviate5%18%66accepted challenger▲+2Since September 2026: 4% → 6%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 6%
05Chroma5%29%42criticized challenger▲+2Since September 2026: 4% → 6%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 6%
Show the two products at 0%, ordered by negative rate
07Milvus0%52%42criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
06LanceDB0%9%11accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.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 is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. 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.
All twenty-one head-to-head pages: the top seven products, each against each

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 →
p01
02
03
04
05
06
07
Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative60%
Key
01pgvector49%
02Pinecone24%
03Qdrant17%
04Weaviate5%
05Chroma5%
06LanceDB0%
07Milvus0%

What they warned about

Seven of fourteen models held their first choice under the paraphrase. GPT-5.4 mini, Perplexity Sonar, Grok 4.1 Fast, Mistral Small, Llama 4 Maverick, GLM 4.7 FlashX and Muse Glimmer 30B 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.
Pinecone
35%
25 of 71 labels negative · 14 of 14 models · 5 hard negative
“Ones to **Avoid or Use with Extreme Caution**: - **Pinecone (fully managed SaaS)**... SMBs risk overspending” Grok 4.1 Fast, negative prompt
Milvus
52%
22 of 42 labels negative · 11 of 14 models · 6 hard negative
“**Why avoid:** Milvus is powerful for large-scale projects ... It's not suitable for small businesses with limited technical resources” Mistral Small, negative prompt
Weaviate
18%
12 of 66 labels negative · 10 of 14 models · 1 hard negative
“costs escalate for production use; self-hosted version demands schema planning and ops” Grok 4.1 Fast, negative prompt
Chroma
29%
12 of 42 labels negative · 10 of 14 models
“Chroma is currently best suited for single-node deployments. It lacks robust authentication, authorization, and high-concurrency handling” Qwen 3.7 Flash, negative prompt

What they cite

Citations exist only for the models that return a source list: fourteen of the fourteen in this edition, and all six flagship models on the expanded tier.

Sites the answers cite

75 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. 939 links across 208 sites, every framing counted. Ranked by the number of answers carrying the site or page. 16 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.

31 answers · 44 citations · 10 models
31 answers · 37 citations · 12 models
28 answers · 28 citations · 9 models
vendor site · G225 answers · 34 citations · 10 models
vendor site · Firecrawl25 answers · 25 citations · 9 models
24 answers · 25 citations · 8 models
23 answers · 24 citations · 8 models
18 answers · 19 citations · 7 models
vendor site · Redis16 answers · 19 citations · 8 models
16 answers · 16 citations · 7 models
vendor site · Pinecone15 answers · 18 citations · 9 models
14 answers · 15 citations · 7 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.

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 productsShareOwn site citedName searches, GoogleAI search demand, est.Organic visitsPaid search a month, est.Google ads, last 30 daysBest Google position
pgvector49%5,400119
Pinecone pinecone.io24%20160,5003,92990,633144
Qdrant qdrant.tech17%1986,6001808,06424
Weaviate weaviate.io5%1872,900545,054
Chroma trychroma.com
Chroma 5%, Chroma Cloud 0%
5%9433,1007,1562,1010
LanceDB lancedb.com0%312,900301,21318
Supabase supabase.com
Supabase 0%, Supabase pgvector 0%
0%65165,0001,97491,4244
MongoDB mongodb.com
MongoDB Atlas Vector Search 0%
0%1974,0009,630342,632 company$8,625120
pgvectorscale0%
Neon neon.com0%68135,00066,14773,3791

Google's top ten for the three searches hold 16 sites; 3 of them are among the sites the models cited here (g2.com, pecollective.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 small B2B company?”Paraphrase“Which vector search database for AI applications would you recommend to a small business that sells to other businesses?”Comparative“What are the top vector databases for a small team and how do they differ?”Budget-constrained“What is the best vector database for a small company with a tight budget?”Scale-constrained“We are a 30 person company evaluating a vector database. What should we look at?”Negative“Which vector databases should a small business avoid or be cautious about?”
Claude Haiku 4.5Pinecone
Two alternativesSupabase, Weaviate
PineconeHeld
Two alternativesQdrant, Weaviate
Chroma, Pinecone
Three alternativesQdrant, Weaviate, pgvector
Chroma, Qdrant
Two alternativesWeaviate, pgvector
no first choice
Two alternativesPinecone, Supabase's pgvector
against: Chroma, Milvus, Pinecone, pgvector
GPT-5.4 miniQdrant
One alternativeWeaviate
against: Milvus
pgvectorChanged
Four alternativesMilvus, Pinecone, Qdrant, Weaviate
Pinecone
Two alternativesQdrant, Weaviate
against: Chroma, Milvus
pgvector
One alternativeQdrant
against: Milvus, Pinecone, Weaviate
no first choiceagainst: Milvus, Pinecone, Qdrant, Weaviate
Gemini 3.5 Flashpgvector
Four alternativesLanceDB, Pinecone, Qdrant, Weaviate
pgvectorHeld
Three alternativesPinecone, Qdrant, Weaviate
pgvector
Three alternativesPinecone, Qdrant, Weaviate
against: Chroma
pgvector
Two alternativesLanceDB, Qdrant
pgvector
Five alternativesMongoDB Atlas Vector Search, Pinecone, Qdrant, Weaviate, pgvectorscale
against: Chroma, LanceDB
against: Elasticsearch, FAISS, Milvus, OpenSearch, Pinecone, Vespa
Perplexity SonarQdrant, pgvector
One alternativeChroma
against: Pinecone
QdrantChanged
Two alternativesPostgreSQL with vector support, Weaviate
against: Pinecone
Pinecone
Four alternativesChroma, Qdrant, Weaviate, pgvector
Qdrant
Two alternativesChroma, pgvector
against: Milvus, Pinecone
no first choiceagainst: Milvus, Pinecone, Weaviate
Grok 4.1 FastQdrant, pgvector
One alternativePinecone
against: Chroma, Milvus / Zilliz Cloud
PineconeChanged
Two alternativesChroma, Qdrant
against: Milvus, Weaviate
Chroma, Qdrant
Three alternativesMilvus, Pinecone, Weaviate
Chroma
Two alternativesQdrant, pgvector
against: Pinecone
Pinecone, pgvector
Two alternativesChroma, Qdrant
against: Milvus
against: Elasticsearch, Milvus, Pinecone, Weaviate, Zilliz Cloud
Mistral SmallPinecone
Three alternativesQdrant, Weaviate, pgvector
WeaviateChanged
One alternativeAtlas Vector Search
Pinecone, Qdrant
Three alternativesChroma, Milvus, Weaviate
pgvector
Two alternativesChroma, Qdrant
Pinecone, Weaviate
Two alternativesMilvus, Qdrant
against: Chroma, Redis
against: FAISS, Milvus, Pinecone, Weaviate
DeepSeek V4 Flashpgvector
Three alternativesPinecone, Qdrant, Supabase
against: Milvus
pgvectorHeld
One alternativeQdrant
Qdrant, pgvector
Three alternativesChroma, Pinecone, Weaviate
pgvector
Two alternativesChromaDB, Qdrant
against: Pinecone
pgvector
Four alternativesChroma, Pinecone, Qdrant, Weaviate
against: Milvus
against: ChromaDB, Milvus, Pinecone, Weaviate, Zilliz Cloud
Llama 4 Maverickpgvector
Three alternativesMilvus, Pinecone, Weaviate
no first choiceChangedpgvector
Three alternativesChromaDB, Pinecone, Weaviate
pgvector
Two alternativesQdrant, Weaviate
no first choiceagainst: Chroma, Milvus, Pinecone, Weaviate, Zilliz Cloud
Qwen 3.7 Flashpgvector
Two alternativesPinecone, Qdrant
pgvectorHeld
Two alternativesQdrant, Supabase
against: Pinecone
Pinecone
Three alternativesQdrant, Weaviate, pgvector
against: Milvus
pgvector
Two alternativesChroma, Qdrant
against: Pinecone
Pinecone, Qdrant, Weaviate
One alternativepgvector
against: Elasticsearch, Milvus, Vespa
against: Chroma, Milvus, Pinecone, Standalone Weaviate, Weaviate, Zilliz Cloud
Kimi K2Pinecone
Three alternativesQdrant, Weaviate, pgvector
against: Chroma
PineconeHeld
Three alternativesQdrant, Weaviate, pgvector
Chroma
Four alternativesPinecone, Qdrant, Weaviate, pgvector
Chroma, Qdrant
Two alternativesPinecone Free Tier, pgvector
pgvector
Three alternativesPinecone, Qdrant, Weaviate
against: Chroma
against: Milvus, Pinecone, Qdrant, Weaviate
GLM 4.7 FlashXpgvector
Four alternativesPinecone, Qdrant, Supabase, Weaviate
against: ChromaDB
PineconeChanged
Two alternativesWeaviate, pgvector
against: Chroma
Pinecone
Three alternativesChromaDB, Qdrant, Weaviate
Qdrant, pgvector
Two alternativesChroma, Weaviate
against: Pinecone
Pinecone
Three alternativesQdrant, Weaviate, pgvector
against: ChromaDB, Milvus / Zilliz Cloud, Pinecone, Weaviate
MiniMax M2.5Pinecone
Two alternativesQdrant, Weaviate
PineconeHeld
Two alternativesQdrant, Weaviate
against: ChromaDB
Qdrant, pgvector
Three alternativesChroma, Pinecone, Weaviate
pgvector
Three alternativesChroma, Qdrant, Weaviate
against: Pinecone
no first choice
Four alternativesPinecone, Qdrant, Weaviate, pgvector
against: Chroma
nothing named
GPT-6 Lunapgvector
Two alternativesPinecone, Qdrant
pgvectorHeld
One alternativeQdrant
Qdrant, Supabase pgvector
Two alternativesChroma Cloud, Pinecone
against: Milvus, Weaviate
pgvector
One alternativeQdrant
pgvectoragainst: Milvus, Pinecone, Weaviate Cloud Flex
Muse Glimmer 30BPinecone, Qdrant
Three alternativesChroma, Weaviate, pgvector
pgvectorChanged
One alternativeQdrant
against: Pinecone
Qdrant
Four alternativesChroma, Pinecone, Weaviate, pgvector
pgvector
Three alternativesChroma, Qdrant, Supabase Vector
against: Pinecone
no first choice
Two alternativesPinecone, Qdrant
against: Milvus / Zilliz Cloud, Pinecone, Weaviate managed
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. Full answer text is in the free responses file. Download the record
Eighty-four rows: every prompt, every model, every answer.
PromptModelVersion stringTime (UTC)SearchedSourcesLatency
Direct recommendationClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 13:44no05 s
Direct recommendationGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 12:57yes45 s
Direct recommendationGemini 3.5 Flashgemini-3.5-flash2026-10-01 11:08yes928 s
Direct recommendationPerplexity Sonarsonar2026-10-01 12:47yes174 s
Direct recommendationGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 08:32yes2210 s
Direct recommendationMistral Smallmistral/mistral-small via mistral2026-10-01 08:53yes54 s
Direct recommendationDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 13:44yes2339 s
Direct recommendationLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 10:48yes52 s
Direct recommendationQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 10:44no026 s
Direct recommendationKimi K2moonshotai/kimi-k2 via novita2026-10-01 13:52yes1015 s
Direct recommendationGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 09:59yes2067 s
Direct recommendationMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 07:39yes911 s
Direct recommendationGPT-6 Lunagpt-6-luna2026-10-01 08:45yes313 s
Direct recommendationMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 09:49yes1419 s
ParaphraseClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 13:17no05 s
ParaphraseGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 09:33no03 s
ParaphraseGemini 3.5 Flashgemini-3.5-flash2026-10-01 13:00yes925 s
ParaphrasePerplexity Sonarsonar2026-10-01 10:47yes183 s
ParaphraseGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 11:32yes175 s
ParaphraseMistral Smallmistral/mistral-small via mistral2026-10-01 13:48yes53 s
ParaphraseDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 09:48yes2328 s
ParaphraseLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 09:38yes51 s
ParaphraseQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 10:11no030 s
ParaphraseKimi K2moonshotai/kimi-k2 via novita2026-10-01 12:16yes1516 s
ParaphraseGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 07:50yes1434 s
ParaphraseMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 12:30yes1538 s
ParaphraseGPT-6 Lunagpt-6-luna2026-10-01 13:11yes212 s
ParaphraseMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 09:40yes1519 s
ComparativeClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 08:41yes910 s
ComparativeGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 11:25yes49 s
ComparativeGemini 3.5 Flashgemini-3.5-flash2026-10-01 07:39yes1231 s
ComparativePerplexity Sonarsonar2026-10-01 07:45yes184 s
ComparativeGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 13:24yes178 s
ComparativeMistral Smallmistral/mistral-small via mistral2026-10-01 13:36yes2511 s
ComparativeDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 11:10yes2236 s
ComparativeLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 13:53yes52 s
ComparativeQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 09:50yes1023 s
ComparativeKimi K2moonshotai/kimi-k2 via novita2026-10-01 10:33yes1425 s
ComparativeGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 13:48yes2554 s
ComparativeMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 12:19yes523 s
ComparativeGPT-6 Lunagpt-6-luna2026-10-01 12:41yes922 s
ComparativeMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 09:17yes1425 s
Budget constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 08:40yes169 s
Budget constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 10:59yes54 s
Budget constrainedGemini 3.5 Flashgemini-3.5-flash2026-10-01 12:53yes1123 s
Budget constrainedPerplexity Sonarsonar2026-10-01 13:51yes174 s
Budget constrainedGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 08:50yes218 s
Budget constrainedMistral Smallmistral/mistral-small via mistral2026-10-01 10:45yes53 s
Budget constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 11:47yes1814 s
Budget constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 13:50yes52 s
Budget constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 08:57yes527 s
Budget constrainedKimi K2moonshotai/kimi-k2 via novita2026-10-01 09:04yes1017 s
Budget constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 11:55yes2463 s
Budget constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 12:24yes919 s
Budget constrainedGPT-6 Lunagpt-6-luna2026-10-01 12:29yes310 s
Budget constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 09:53yes1424 s
Scale constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 10:06no06 s
Scale constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 13:19no05 s
Scale constrainedGemini 3.5 Flashgemini-3.5-flash2026-10-01 13:53yes1025 s
Scale constrainedPerplexity Sonarsonar2026-10-01 09:16yes164 s
Scale constrainedGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 10:16yes157 s
Scale constrainedMistral Smallmistral/mistral-small via mistral2026-10-01 09:20no09 s
Scale constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 09:23yes2239 s
Scale constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 08:56yes53 s
Scale constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 09:57yes832 s
Scale constrainedKimi K2moonshotai/kimi-k2 via novita2026-10-01 12:29yes1017 s
Scale constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 13:47yes1439 s
Scale constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 12:04yes523 s
Scale constrainedGPT-6 Lunagpt-6-luna2026-10-01 12:01yes316 s
Scale constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 10:51yes1327 s
Negative framingClaude Haiku 4.5claude-haiku-4-5-202510012026-10-01 10:54yes169 s
Negative framingGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-01 12:53yes59 s
Negative framingGemini 3.5 Flashgemini-3.5-flash2026-10-01 13:12yes1125 s
Negative framingPerplexity Sonarsonar2026-10-01 10:28yes253 s
Negative framingGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-01 13:31yes2311 s
Negative framingMistral Smallmistral/mistral-small via mistral2026-10-01 07:28yes54 s
Negative framingDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-01 11:19yes2528 s
Negative framingLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-01 09:18yes52 s
Negative framingQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-01 08:21yes527 s
Negative framingKimi K2moonshotai/kimi-k2 via novita2026-10-01 09:02yes2529 s
Negative framingGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-01 10:33yes2551 s
Negative framingMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-01 11:41no036 s
Negative framingGPT-6 Lunagpt-6-luna2026-10-01 13:22yes420 s
Negative framingMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-01 11:43yes1334 s

Normalization in this category

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

ShowHide
Category-scoped readings
MongoDB read as MongoDB Atlas Vector Search
PostgreSQL (`pgvector`) read as pgvector
Unresolved, counted raw
Azure Vector Search
Chroma Cloud
Pinecone Free Tier
SQLite Extensions
Standalone Weaviate
Supabase pgvector
Supabase's pgvector
Weaviate Cloud Flex
Weaviate managed
Discontinued, still offered
No shut-down product was recommended here.
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