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Data quality: Editorially Reviewed
Retrieval & data layer
Research assistance & Q&A
Vector search
API / SDK
Data & Retrieval
Usage-based
Private cloud / VPC
SaaS (vendor-hosted)
Cross-industry / Horizontal
Enterprise / custom quote
Enterprise search & retrieval
Retrieval-augmented generation

Databricks Vector Search

Retrieval & data layer

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Overview

Databricks Vector Search is a vector database service integrated with Databricks data and AI workflows. It stores embedding indexes, synchronizes source data, and supports retrieval pipelines for generative AI applications.

Pricing model
Usage-based
Deployment
SaaS (vendor-hosted), Private cloud / VPC, API / SDK
Regions served
Global
Categories
Retrieval & data layer, Research assistance & Q&A, Vector search, API / SDK, Data & Retrieval, Usage-based, Private cloud / VPC, SaaS (vendor-hosted), Cross-industry / Horizontal, Enterprise / custom quote, Enterprise search & retrieval, Retrieval-augmented generation
Last updated
6 October 2026
Published
6 October 2026

Use cases

Enterprise search & retrieval
Research assistance & Q&A

Deployment options

SaaS (vendor-hosted)
Private cloud / VPC
API / SDK

Data sources & provenance

Where this information came from, how it was checked and when it was last looked at. “Last updated” records a change to the record — it does not mean the record was verified.

Data quality
Data quality: Editorially Reviewed
Primary source
databricks.com
Sources cited
1
Last reviewed
5 October 2026
Last updated
6 October 2026

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