seekdb is an AI-native search database that unifies relational, vector, full-text, JSON, and GIS data in one MySQL-compatible, ACID-compliant engine — replacing the typical Frankenstein stack of MySQL + Pinecone + Elasticsearch.
Two hands-on scripts in this guide: pure vector search (semantic recall in ~10 lines) and hybrid search (vector + full-text + RRF fusion in a single hybrid_search() call), both running in embedded mode with zero infrastructure.
The same code runs in production: swap Client() for Client(host="...", port=2881) to move from an in-process prototype to a distributed OceanBase cluster.

AI Multi-model seekdb

Content

Core Advantages of seekdb

Flexible Deployment

Deploy seekdb in Embeded Mode

Hands-on Part 1: Hello World with Pure Vector Search

Hands-on Part 2: Hybrid Search

From Prototype to Production

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