Who AI recommends for vector database.

Updated 9 October 2026Google AI Overview on 10 October 2026 added

We ask AI assistants which vector database they’d recommend, with live web search on. Here’s who they name.

Ask AI yourself:

Who gets recommended.

Products named for vector database, by share of 80 answers
#	Product	Share of answers	DR	vs last month	Avg. position
1	QdrantDR 68qdrant.tech	80% 64/80 answers —	DR 68	—	#2.2
2	WeaviateDR 68weaviate.io	74% 59/80 answers —	DR 68	—	#3.1
3	PineconeDR 73pinecone.io	73% 58/80 answers —	DR 73	—	#1.7
4	ChromaDR 67trychroma.com	70% 56/80 answers —	DR 67	—	#4.4
5	MilvusDR 66milvus.io	65% 52/80 answers —	DR 66	—	#3.9
6	pgvectorDR 95github.com	65% 52/80 answers —	DR 95	—	#4.2
7	Qdrant CloudDR 68qdrant.tech	20% 16/80 answers —	DR 68	—	#2.4
8	Zilliz CloudDR 18cloud.zilliz.com	18% 14/80 answers —	DR 18	—	#3.6
9	Weaviate CloudDR 68weaviate.io	16% 13/80 answers —	DR 68	—	#3.6
10	LanceDBDR 56lancedb.com	16% 13/80 answers —	DR 56	—	#4.7
11	VespaDR 55vespa.ai	14% 11/80 answers —	DR 55	—	#6.6
12	RedisDR 83redis.io	13% 10/80 answers —	DR 83	—	#6.2
13	FAISSDR 96en.wikipedia.org	11% 9/80 answers —	DR 96	—	#4.7
14	OpenSearchDR 76opensearch.org	8% 6/80 answers —	DR 76	—	#6
15	SupabaseDR 79supabase.com	6% 5/80 answers —	DR 79	—	#4.4
16	MongoDB Atlas Vector SearchDR 84mongodb.com	6% 5/80 answers —	DR 84	—	#5
17	ZillizDR 66milvus.io	5% 4/80 answers —	DR 66	—	#4
18	Chroma CloudDR 67trychroma.com	5% 4/80 answers —	DR 67	—	#6
19	Cloudflare VectorizeDR 87developers.cloudflare.com	5% 4/80 answers —	DR 87	—	#6.3
20	Pinecone ServerlessDR 73pinecone.io	4% 3/80 answers —	DR 73	—	#2.7
21	ElasticsearchDR 86elastic.co	4% 3/80 answers —	DR 86	—	#5
22	Upstash VectorDR 68upstash.com	4% 3/80 answers —	DR 68	—	#5.3
23	TurbopufferDR 47turbopuffer.com	4% 3/80 answers —	DR 47	—	#5.7
24	AnnoyDR 95github.com	4% 3/80 answers —	DR 95	—	#6
25	Supabase with pgvectorDR 79supabase.com	3% 2/80 answers —	DR 79	—	#2.5
26	Supabase VectorDR 79supabase.com	3% 2/80 answers —	DR 79	—	#4
27	Milvus / Zilliz CloudDR 66milvus.io	3% 2/80 answers —	DR 66	—	#4.5
28	Milvus LiteDR 66milvus.io	3% 2/80 answers —	DR 66	—	#5.5
29	MongoDB AtlasDR 84mongodb.com	3% 2/80 answers —	DR 84	—	#6
30	pgvector for PostgreSQLDR 85postgresql.org	3% 2/80 answers —	DR 85	—	#6.5
30	NeonDR 71neon.tech	3% 2/80 answers —	DR 71	—	#6.5
32	ChromaDBDR 67trychroma.com	1% 1/80 answers —	DR 67	—	#1
33	Chroma (ChromaDB)DR 67trychroma.com	1% 1/80 answers —	DR 67	—	#2
33	DuckDBDR 71duckdb.org	1% 1/80 answers —	DR 71	—	#2
35	PostgreSQL + pgvectorpgvector.dev	1% 1/80 answers —	—	—	#3
35	NumPy	1% 1/80 answers —	—	—	#3
37	PostgreSQL with pgvectorDR 95github.com	1% 1/80 answers —	DR 95	—	#4
38	pgvector (Postgres + pgvector)DR 95github.com	1% 1/80 answers —	DR 95	—	#5
38	Milvus (Zilliz Milvus)DR 66milvus.io	1% 1/80 answers —	DR 66	—	#5
40	Redis (RedisVector / Redis Stack)DR 72redis.com	1% 1/80 answers —	DR 72	—	#6
40	Amazon Aurora PostgreSQL with pgvectorDR 92aws.amazon.com	1% 1/80 answers —	DR 92	—	#6
40	AWS RDS	1% 1/80 answers —	—	—	#6
40	Elasticsearch / OpenSearchDR 76opensearch.org	1% 1/80 answers —	DR 76	—	#6
40	pgvector (Postgres extension)DR 95github.com	1% 1/80 answers —	DR 95	—	#6
40	ObjectBoxDR 45objectbox.io	1% 1/80 answers —	DR 45	—	#6

Prompt by prompt.

Each prompt, the engines whose answers named its most mentioned product, and how many of the planned answers came back. Open a prompt for its own ranking, sources, searches and every answer.

Every prompt, the product its answers named most, and how many answers came back
#	Prompt	Named the leader	Most mentioned	Answers
1	Pinecone 16/16	ChatGPT named itClaude named itPerplexity named itGemini named itGrok named itAI Overview named it	Pinecone16/16	16/16
2	Pinecone 16/16	ChatGPT named itClaude named itPerplexity named itGemini named itGrok named itAI Overview named it	Pinecone16/16	16/16
3	Pinecone 16/16	ChatGPT named itClaude named itPerplexity named itGemini named itGrok named itAI Overview named it	Pinecone16/16	16/16
4	Qdrant 16/16	ChatGPT named itClaude named itPerplexity named itGemini named itGrok named itAI Overview named it	Qdrant16/16	16/16
5	Chroma 14/16	ChatGPT named itClaude named itPerplexity named itGemini named itGrok named itAI Overview named it	Chroma14/16	16/16

Recommendations by engine.

Each cell is the share of that engine’s answers naming the product. Engines differ, and this is where it shows.

Share of each engine’s answers naming each product; open a cell for its answers
Product	ChatGPTChatGPT	ClaudeClaude	PerplexityPerplexity	GeminiGemini	GrokGrok	AI OverviewAI Overview
Qdrant
Weaviate
Pinecone
Chroma
Milvus
pgvector
Qdrant Cloud
Zilliz Cloud
Weaviate Cloud
LanceDB
Vespa
Redis
FAISS
OpenSearch
Supabase

Where the answers looked.

Sites the answers cited, by the share of answers citing each one.

1firecrawl.dev
41%33/80
2alphacorp.ai
28%22/80
3encore.dev
28%22/80
4iternal.ai
28%22/80
5redis.io
25%20/80
6pecollective.com
24%19/80
7positioniseverything.net
18%14/80
8dev.to
16%13/80
9marktechpost.com
15%12/80
10medium.com
15%12/80
11ranksquire.com
15%12/80
12braintrust.dev
14%11/80

In their own words.

Lines from the answers that name the product, word for word, with the engine and the day it answered.

What the engines say about

“What is the best vector database?”
4. Qdrant — https://qdrant.tech/
ChatGPT9 Oct 2026
“What is the best vector database?”
2. Qdrant — https://qdrant.tech/
Claude9 Oct 2026
“What is the best vector database?”
2. Qdrant — qdrant.tech — Best for developers who want strong metadata filtering, high performance, and self-hosting flexibility.[6][7]
Perplexity9 Oct 2026
“What is the best vector database?”
2. Qdrant — [qdrant.tech](https://qdrant.tech)
Gemini9 Oct 2026
“What is the best vector database?”
2. Qdrant
Grok9 Oct 2026
“What is the best vector database?”
The best vector database depends on your scale, budget, and existing tech stack, with top industry choices including `Pinecone, Weaviate, Qdrant, and Milvus`.[[1]](https://www.youtube.com/watch?v=uZNYG1KvtNs)
AI Overview10 Oct 2026

How this was measured.

Measured on 9 October 2026.
5 buyer questions, on ChatGPT, Claude, Perplexity, Gemini, Grok and AI Overview.
Asked more than once.
Each question went to each engine several times (Google AI Overview once), so the tables show rates, not one list.
Gaps stay gaps.
An answer that failed is left out of every count, never read as one that named nobody.
Every answer is here.
Quoted word for word, and in the CSV and JSON.

Not affiliated with or endorsed by OpenAI, Anthropic, Perplexity, Google and xAI. How it works · More AI rankings

Show your count on your site.

If your product was named in at least 40 of the 80 answers, you can say so on your site. The badge shows your own count and the month it was measured, and links to your row here.

It is drawn from the latest ranking. When the ranking is checked again, the badge shows the new count; if your product is no longer on the list or falls below the bar, the badge stops showing a claim.

Your product

Qdrant: named in 64 of 80 AI answers for vector database — recomention, October 2026

<a href="http://localhost:3000/ai-rankings/vector-database#named-qdrant" target="_blank" rel="noopener"><img src="http://localhost:3000/ai-rankings/vector-database/badge.svg?product=named-qdrant&amp;v=3" alt="Qdrant: named in 64 of 80 AI answers for vector database — recomention, October 2026" title="Qdrant: named in 64 of 80 answers from ChatGPT, Claude, Perplexity, Gemini, Grok and AI Overview for vector database — recomention, October 2026" width="220" height="74" /></a>

Both themes make the same claim. The badge links to your product’s row in this ranking, where the answers are.

Other categories.

Not on this list? Check your brand.

A Quick report asks 15 questions a buyer would ask in your category, with your name left out of every one, 2 times each on ChatGPT, Perplexity and Gemini. It shows how often you are named, who is named instead, and where the engines look. One payment, no subscription.

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