No AI answer named Vespa for this question in the last 90 days; pinecone.io was cited instead.

Vespa AI visibility

Q: Does ChatGPT recommend Vespa?

Across its 6 most recent AI answers to Vector Databases buyer questions (ChatGPT, Perplexity, Gemini, Claude and Copilot), Vespa was named in 3 — a 50% AI visibility rate.

Q: best vector database 2026

Vespa was named in 3 of 5 AI answers for this question in the last 90 days.

Does ChatGPT recommend Vespa? Named in 50% of 6 AI answers to Vector Databases buyer questions (most recent checks).

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AI citation rate · last 90 days

50%

Answers citing Vespa

3/6

Cited / total probes

Rank in Vector Databases

Engine	Cited	Probes	Rate
ChatGPT	1	1	100%
Claude	1	1	100%
Copilot	1	1	100%
Gemini	0	1	0%
Perplexity	0	2	0%

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Checks whether ChatGPT, Claude, Perplexity, Gemini and Copilot crawlers are allowed in by Vespa's robots.txt and firewall, and whether an llms.txt file exists.

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What reviewers say about Vespa

Review data is part of the Company plan. Once Vespa is claimed, we add its ratings and review counts from Google, G2, Capterra and Trustpilot to this page, with the strengths and complaints reviewers repeat most, and keep them updated. AI engines lean on this kind of data when they recommend brands.

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What Vespa offers

Vespa is a vector databases product starting at $0.05/hour. The details below are read from vespa.ai and are the same facts the AI engines see when they answer buyer questions about vector databases.

Key features

Pro-active remediation of issues
Unlimited support cases
Automated ops, deployments and upgrades
Community support only
No redundancy by default
Support response time varies by plan
Backup and disaster recovery
Single sign-on (SSO)

Strengths buyers cite

Flexible pricing based on resource usage
Various support options available
Suitable for multiple application types
No hidden costs for basic services

Common criticisms

Community support only for Startup plan
Restrictions on shared resources
Higher costs for certain plans
Minimum spend for Enterprise plan

Buyer questions we asked the AI engines

These are the real vector databases questions we put to ChatGPT, Claude, Gemini, Perplexity and Copilot over the last 90 days, and what came back about Vespa. Where an answer named a different company, that company is listed.

“best vector database 2026”

Vespa named in 3 of 5 answers across ChatGPT, Claude, Copilot, Gemini, Perplexity · cited instead: pinecone.io

1. Pinecone (https://www.pinecone.io) — managed, fully hosted vector database with simple APIs, production-ready scaling, and broad ML integrations (fastest path to deploy). 2. Milvus (https://milvus.io) — open‑source, high‑performance vector DB designed for large-scale deployments with GPU/CPU indexing options and cloud provider integrations. 3. Weaviate (https://weaviate.io) — schema-driven vect

“Pinecone vs Weaviate”

No answer named Vespa across Perplexity · cited instead: pinecone.io

Both Pinecone and Weaviate are leaders in the vector database space, but they serve different architectural needs. **Pinecone** is a fully managed, cloud-native SaaS designed for developers who want "serverless" simplicity and high scale without managing infrastructure. **Weaviate** is an open-source, schema-driven database that offers more flexibility for hybrid search and self-hosting, making it

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Where Vespa places in the ranked list

Head-to-head comparisons

Vespa vs Qdrant Vespa vs LanceDB Vespa vs Pinecone Vespa vs Marqo Vespa vs Weaviate Vespa vs Chroma

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