IndentiaDB¶

Multi-Model Database for Knowledge Graphs & Enterprise AI

IndentiaDB unifies RDF graphs, JSON documents, full-text search, vector embeddings, and labeled property graphs into a single ACID-compliant engine. Built in Rust. Native SPARQL 1.2, Elasticsearch-compatible API on port 9200, first-class AI/RAG integration — all in one binary.

Why IndentiaDB?¶

Modern AI and enterprise applications require multiple data paradigms simultaneously: knowledge graphs for reasoning, vector stores for semantic search, document stores for flexible schemas, and full-text search for discovery. The traditional answer is polyglot persistence — running 4–6 separate databases, each with its own operations, scaling, and consistency guarantees.

IndentiaDB eliminates that complexity.

Feature Highlights¶

SPARQL 1.2 & RDF 1.2 — with RDF-star Full W3C Working Draft compliance, including RDF-star quoted triples. In RDF 1.1, annotating a single fact with a confidence score and source required 6 extra triples and a blank node (reification). RDF-star does it in one line:

# One line instead of six:
<< ex:alice ex:worksAt ex:Acme >> ex:confidence 0.9 ; ex:source ex:HRSystem .

Named graphs, SEMIJOIN/ANTIJOIN, TripleTerms, federated SERVICE queries — all natively supported. See the RDF-star Guide.

Elasticsearch-Compatible API Drop the ES client into your existing stack and point it at port 9200. IndentiaDB responds to the same REST API: _search, _bulk, _doc, KNN search, index mappings. No code changes required.

Bayesian Hybrid Search BM25 full-text + HNSW dense vector search fused with Bayesian probability calibration. Outperforms Reciprocal Rank Fusion (RRF) at NDCG@10: 0.9149 vs 0.8874 on SQuAD benchmarks.

Triple-Level Security The only database with ACL policies embedded directly in RDF-star quoted triples. Combine LDAP/OIDC/JWT authentication with RBAC/ABAC authorization and per-triple access control — including Windows SID support for Active Directory integration.

Raft High Availability OpenRaft consensus, leader election, automatic failover, and log compaction. Three-node clusters with configurable replication factors. The Kubernetes operator manages StatefulSets, rolling upgrades, and cluster membership automatically.

Real-Time Reactive Queries LIVE SELECT over WebSocket pushes results to clients the moment data changes. DEFINE EVENT triggers fire SurrealQL logic on record mutations — enabling reactive pipelines, alerting, and AI agent loops without polling.

35 Graph Algorithms PageRank, Louvain, Betweenness, Dijkstra, A*, Bellman-Ford, K-Shortest Paths, Dinic Max Flow, Minimum Spanning Tree, and 26 more — all available via POST /algo/:name directly on the LPG projection of your data.

Locy Logic Programming Datalog-with-Cypher-syntax rules for recursive inference over the LPG. Define transitive reachability, stratified negation, and FOLD aggregations in a few lines, evaluated bottom-up to fixpoint.

OpenCypher Mutations CREATE, MERGE, SET, DELETE and DETACH DELETE in the LPG engine, plus count(), sum(), avg(), collect() aggregations in RETURN clauses.

RDFS/OWL Inference Forward-chaining materialization with incremental updates. Entailed triples are stored and indexed like any other triple — queries over inferred knowledge are as fast as queries over asserted data.

Quick Start¶

docker run -p 7001:7001 -p 9200:9200 ghcr.io/indentiaplatform/indentiadb-trial:latest

git clone https://github.com/Indentia/indentiagraph.git
cd indentiagraph
docker compose up -d

curl -L https://github.com/Indentia/indentiagraph/releases/latest/download/indentiagraph-$(uname -s)-$(uname -m) \
  -o indentiagraph
chmod +x indentiagraph
./indentiagraph serve --port 7001

First SPARQL Query¶

# Insert a triple
curl -X POST http://localhost:7001/update \
  -H "Content-Type: application/sparql-update" \
  -d 'INSERT DATA { <http://example.org/alice> <http://xmlns.com/foaf/0.1/name> "Alice" }'

# Query it back
curl -X POST http://localhost:7001/sparql \
  -H "Content-Type: application/sparql-query" \
  -H "Accept: application/sparql-results+json" \
  -d 'SELECT ?name WHERE { ?p <http://xmlns.com/foaf/0.1/name> ?name }'

First Elasticsearch-compatible Search¶

# Index a document
curl -X POST http://localhost:9200/articles/_doc \
  -H "Content-Type: application/json" \
  -d '{"title": "Knowledge Graphs", "content": "RDF triples and SPARQL queries"}'

# Search it
curl -X POST http://localhost:9200/articles/_search \
  -H "Content-Type: application/json" \
  -d '{"query": {"match": {"content": "knowledge graph"}}}'

Performance at a Glance¶

Navigation¶

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License¶

Copyright 2024–2026 Indentia B.V.