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Getting Started

Welcome to IndentiaDB. This section takes you from zero to a running instance with your first queries executing in under five minutes.

What You Will Learn

By the end of this section you will be able to:

  • Install and run IndentiaDB locally using Docker or a pre-built binary
  • Execute SPARQL 1.2 queries against RDF data
  • Store and query JSON documents using SurrealQL
  • Index and search documents using the Elasticsearch-compatible API
  • Run a hybrid BM25 + vector search query
  • Understand the key configuration options

Prerequisites

  • Docker 24.0+ or Docker Desktop
  • Docker Compose v2.20+ (for multi-container setups)
  • No other dependencies required

Fastest path

Docker is the recommended installation method. You get a fully working instance in a single command with no build toolchain required.

  • Linux (x86_64 or aarch64) or macOS (x86_64 or Apple Silicon)
  • A running SurrealDB instance (embedded mode available)
  • curl for the download

Installation Options

Method Time Requires Best For
Docker one-liner ~30 seconds Docker Evaluation, development, CI
Docker Compose ~1 minute Docker Compose Local dev with persistent data
Pre-built binary ~1 minute Linux/macOS Production on bare metal or VMs
Kubernetes operator ~5 minutes kubectl, Helm Production cluster deployments

SurrealDB backend required for binary installs

The pre-built binary requires a SurrealDB instance. The Docker image bundles everything. If you are evaluating IndentiaDB, use Docker.

Next Steps

  1. Quick Start — Run your first queries in minutes
  2. Configuration — Full TOML config and environment variable reference
  3. Concepts: Architecture — Understand the internal design
  4. Query Languages — SPARQL 1.2, SurrealQL, LPG, hybrid queries