Own your data. Own your AI.
Zen 17 AI brings native vector search, semantic retrieval, and AI agent connectivity directly into your embedded database. No cloud dependency, no separate infrastructure.
Build AI without added complexity
Modernize your applications with AI using native vector support built directly into Actian Zen — the embedded database your applications already run on.
Store embeddings alongside your existing relational and document data. No need to provision, manage, or sync a separate vector store.
Run similarity search and hybrid queries using standard SQL. No new APIs or tools to learn. It works with the skills and stack your team already has.
RAG pipelines, semantic search, recommendations, and anomaly detection work in embedded, edge, and air-gapped environments. No cloud dependency, no stitching results in application code.
Connect Zen directly to Claude, ChatGPT, and other AI apps via the built-in MCP Server. Out-of-the-box integration with OAuth 2.0 security with no custom connectors required.
Sensitive data stays where it is created, searched, and acted on. Lower architecture overhead, less data movement, and no cloud dependency — built for regulated and privacy-sensitive environments.
Why Actian Zen for AI
A lightweight database with native vector search and MCP Server.
Native vector search, SQL-accessible hybrid queries, and MCP Server support added to the Zen embedded engine. Relational data, metadata, and vector embeddings in one lightweight, zero-admin database.
One engine for relational and vector search, anywhere your app runs.
RAG, semantic search, recommendations, and anomaly detection work in embedded, edge, and air-gapped environments. No extra infrastructure, no stitching results together in application code.
AI-powered hybrid search where the data lives, without the complexity.
Lower architecture overhead, less data movement, and no cloud dependency. Sensitive data stays close to where it's created, searched, and acted on.
What you can build
Semantic search
Search documents and knowledge bases by meaning, not exact keywords across millions of records without keyword matching constraints.
RAG pipelines
Build Retrieval-Augmented Generation applications with your own private data, running entirely on-premises or at the edge.
Recommendations
Personalize recommendations using contextual signals from past interactions, stored and retrieved directly from Zen.
Anomaly detection
Identify hidden patterns and outliers using vector similarity without transferring data to a cloud analytics platform.
Hybrid search
Combine keyword and semantic search in a single SQL query. No result stitching, no dual-database architecture.
AI agent memory
Give your AI agents secure, low-latency local context directly from Zen via the native MCP Server.
Built for developers
Zen 17 AI integrates into the stacks and workflows developers already use.
Join the Early Access Program
Test Zen 17 AI in your own environment, with your own data and use case. Be among the first to build with vector search and MCP Server connectivity in Actian Zen.
Request Early Access
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