seekdb

seekdb is an open-source database engine that integrates vector, relational, text, JSON, and GIS data to support hybrid search and AI workflows.

seekdb functions as an AI-native search database engine that combines vector, relational, text, JSON, and GIS data. Built on the OceanBase engine, it supports hybrid search capabilities and allows developers to run embedding, reranking, and LLM inference directly within SQL statements. The system offers ACID compliance and is compatible with the MySQL ecosystem. It supports various deployment modes, including a lightweight embedded library for prototyping and a client/server mode for production workloads. The architecture is designed to handle document-in/data-out RAG workflows and metadata management for AI agents.

seekdb at a glance

Best for: Software engineer
Runs on: self-hosted
Pricing: Free
Released: October 2025
Category: AI coding tool
Website: seekdb.ai

Key features

Hybrid search combining vector, keyword, and relational queries
In-database AI functions for embedding, completion, and reranking
Support for dense and sparse vector indexes including HNSW and IVF
MySQL ecosystem compatibility and full ACID compliance
Full-text search with BM25 ranking
Embedded and client/server deployment modes
Multi-level access control for data privacy

Use it for

Building RAG workflows with external knowledge
Developing agentic AI applications with memory and planning
Running on-device and edge AI applications
Enhancing enterprise systems with intelligent storage
AI-assisted coding and development support

Alternatives to seekdb

HelixDB — Combines graph, vector, and full-text search in one engine.
SereneDB — Executes search and analytics queries with a PostgreSQL-compatible frontend.
SeekStorm — It delivers sub-millisecond lexical and vector search performance in Rust.
Weaviate — Stores data objects and vectors for semantic and hybrid search capabilities.
Searchbase — Independent web access with support for REST, MCP, self-hosting, and managed cloud.
zvec — It is a pure local, serverless vector database providing fast hybrid search.
Exa — Provides high-accuracy web search and deep research endpoints for AI agents.
OpenViking — Unifies agent memory, knowledge RAG, and skills into a single directory structure.
Infinity — Achieves 0.1 milliseconds query latency on million-scale vector datasets.
Chroma — Object storage architecture with automatic query-aware data tiering and caching.
Singlebase — It combines a document database, vector database, and AI tools in one platform.
LanceDB — Provides one table for the whole AI data loop and high-throughput data access.

All seekdb alternatives