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SeekDB

The AI-Native Search Database. Unifies vector, full-text, and scalar search in one engine — the best storage for AI agents.

★ 2,858 GitHub Apache-2.0 vector-databaseragai-agentssearchmysql LLM & Chat

Overview

SeekDB is an AI-native search database built by OceanBase. It unifies vector, full-text, and scalar search into a single MySQL-compatible engine, giving AI agents a fast, ACID-compliant state store. With streaming write plus concurrent search (1,523 QPS at 21.7 ms P99), copy-on-write FORK and MERGE sandboxes for safe agent exploration, and drop-in support for LangChain, LlamaIndex, and Dify, SeekDB makes agent storage simpler, faster, and more stable.

Requirements

Min vCPU
2
Min RAM
4096 MB
Min Disk
10 GB
Rec vCPU
4
Rec RAM
8192 MB
Rec Disk
20 GB

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Affiliate disclosure

Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  seekdb:
    image: oceanbase/seekdb:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/seekdb:/data

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Guides & articles

SeekDB Tutorial: Deploy Vector + Full-Text Search for AI Agents

Step-by-step tutorial: run SeekDB in embedded mode, fork copy-on-write sandboxes, execute hybrid vector+full-text queries, and deploy with Docker.

Aug 8, 2026

SeekDB: The AI-Native Search Database for Agent Storage

Discover SeekDB, OceanBase's AI-native search database that unifies vector, full-text, and scalar search — 10.7x Milvus QPS with copy-on-write sandboxes for AI agents.

Aug 8, 2026