Guides

Practical, task-oriented cookbooks for Fluree’s key features. Each guide shows working patterns you can adapt to your use case.

If you’re new to Fluree, start with the Getting Started section first.

Recipes for the list-value and path operators: dense / gap-filled series with unwind + range, collecting values into lists, the collect→unwind round-trip, working with list values, and shortest-path queries.

Cypher

Querying and writing with openCypher: modeling a property graph, querying relationships, MERGE find-or-create, updates and deletes, paths and shortest path, aggregation, and cross-surface round-trips with JSON-LD/SPARQL.

SPARQL

The Fluree-specific SPARQL surface (the 1.1 basics assumed): time travel with FROM @t:, fact history via << s p o >> f:t/f:op, RDF 1.2 edge annotations ({| |}, ~, rdf:reifies), cross-ledger FROM/GRAPH queries, and cross-surface round-trips.

Full-Text and Vector Search

Set up BM25 full-text search and vector similarity. Insert searchable data, write relevance-ranked queries, combine search with graph patterns, and build hybrid text+vector search.

Time Travel

Practical patterns for temporal queries: audit trails, point-in-time comparison, compliance snapshots, recovering deleted data, and transaction metadata.

Branching and Merging

Git-like workflows for data: safe experimentation, review-before-merge, multi-environment setups, feature branches, and rebase strategies.

Access Control Policies

Set up fine-grained access control: department isolation, role-based access, property redaction, multi-tenant isolation, and default-deny patterns.

SHACL Validation

Define data quality constraints: required properties, datatype validation, value ranges, string patterns, cardinality, and allowed values.

Edge Annotations

Attach properties to a relationship: model property-graph edges, record statement-level provenance, represent parallel relationships, query inline or annotation-rooted, and understand the retract cascade — in JSON-LD and SPARQL 1.2.

Fluree DB