# LanceDB: what AI models say (September 2026)

Source: Memetik Index, https://www.memetik.ai/vendors/lancedb
Website: https://docs.lakefs.io

LanceDB was named in 10 of 50 AI answers across 1 category. Best position: Vector databases, 20% answer share, ranked #9, named first in 0%.

## What LanceDB is

LanceDB is a vector database for storing and querying vector data. It is intended for users who need to manage vector records and search them using embeddings.

It stores vector data directly on an object store. Users can add vector records to tables, then query those tables with embedding-based search. LanceDB can also be configured to use lakeFS through its S3 Gateway.

(From LanceDB's own website, read 2026-09-02.)

## By category

| Category | Rank | Answer share | Named first | Models |
|---|---|---|---|---|
| Vector databases (https://www.memetik.ai/index/vector-databases) | #9 of 16 | 20% | 0% | GPT-5.6 Luna, Claude Opus 5, Claude Fable 5, Gemini, Gemini 3.5 Flash |

## What the models said

> "The main contenders right now are pgvector, Pinecone, Qdrant, Weaviate, Milvus, Chroma, and LanceDB, plus platforms like Redis, Elasticsearch, and Vespa."
> — Claude Fable 5, Vector databases

> "Local, offline, or edge retrieval Qdrant Edge, LanceDB, or a local embedded option."
> — GPT-5.6 Luna, Vector databases