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

LanceDB AI visibility

Q: Does ChatGPT recommend LanceDB?

Across its 6 most recent AI answers to Vector Databases buyer questions (ChatGPT, Perplexity, Gemini, Claude and Copilot), LanceDB was named in 0 — a 0% AI visibility rate.

Does ChatGPT recommend LanceDB? Named in 0% of 6 AI answers to Vector Databases buyer questions (most recent checks).

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AI citation rate · last 90 days

Answers citing LanceDB

0/6

Cited / total probes

#10

Rank in Vector Databases

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

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

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What reviewers say about LanceDB

Review data is part of the Company plan. Once LanceDB 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 LanceDB offers

LanceDB is a vector databases product starting at $779/month. The details below are read from lancedb.com and are the same facts the AI engines see when they answer buyer questions about vector databases.

Key features

Multimodal Lakehouse platform
Flexible data evolution features
Supports distributed vector search
Native SQL for retrieval

Strengths buyers cite

Scalable for large datasets
Optimized for vector search
Supports multimodal data
Fast indexing capabilities

Common criticisms

Pricing not specified for lower tiers
No free tier available
Limited information on integrations
No stated API limits

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 LanceDB. Where an answer named a different company, that company is listed.

“best vector database 2026”

No answer named LanceDB 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 LanceDB 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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Head-to-head comparisons

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

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Markdown

[![PressGEO AI Visibility — LanceDB](https://pressgeo.com/api/public/badge/lancedb.com.svg)](https://pressgeo.com/brand/lancedb?utm_source=badge&utm_medium=referral&utm_campaign=lancedb.com)

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