Do I need prior experience with Postgres, Pinecone, or Neo4j?

No. The course names the three-service stack as the problem HelixDB solves, but you do not need prior experience with any one of them. You DO need to be comfortable in Rust — at the level of having written a small service with serde, tokio, and an HTTP client.

Is this just RAG with another vector database?

Partly. HelixDB carries vectors as a first-class primitive via V::Embedding and SearchV, so the vector half of RAG is identical. The difference is the graph half — ::In<EmbeddingOf> traversals climb from vector hits back to source documents inside the same query, with no second connection pool, no second schema, and no second transaction.

When is HelixDB the wrong choice?

Honest answer: anything that wants columnar OLAP execution semantics — Spark, DuckDB, or a multi-tenant analytical warehouse. HelixDB is built for graph-shaped and vector-shaped workloads in one process. Module 1 names the boundary explicitly so you can rule it in or out for your stack before you commit.

When will I have access to the lectures and assignments?

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

What will I get if I subscribe to this Specialization?

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

HelixDB From Zero

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HelixDB From Zero

Dozent: Noah Gift

Bei enthalten

Mehr erfahren

6 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

Stufe Mittel

Empfohlene Erfahrung

1 Stunde zu vervollständigen

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

6 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

Stufe Mittel

Empfohlene Erfahrung

1 Stunde zu vervollständigen

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

Was Sie lernen werden

Apply the three-element HelixQL schema (N::, V::, E::) and the four-keyword QUERY shape compiled into typed Rust handlers.
Build a hybrid-RAG pipeline with SearchV and ::In<EmbeddingOf>, shipped as a typed Rust client.
Compose graph traversal and vector search in one HelixQL query language and one engine.

Kompetenzen, die Sie erwerben

Kategorie: Network Routing
Kategorie: Data Validation
Kategorie: Database Design
Kategorie: Retrieval-Augmented Generation
Kategorie: Data Storage
Kategorie: Graph Theory
Kategorie: Algorithms
Kategorie: Embeddings

Werkzeuge, die Sie lernen werden

Kategorie: Vector Databases
Kategorie: Rust (Programming Language)
Kategorie: Relational Databases
Kategorie: Query Languages
Kategorie: Command-Line Interface

Wichtige Details

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Mai 2026

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In diesem Kurs gibt es 6 Module

Stop stitching three databases together. HelixDB is a Rust-native graph plus vector engine that holds your nodes, your embeddings, your typed edges, and your key-value documents in one process — no separate Postgres, no separate Qdrant, no separate Neo4j. This course walks a Rust-fluent engineer from helix init through a typed HelixQL schema, the helix check and helix compile pre-deploy gates, side-by-side graph traversal and vector search in the same query language, and a typed Rust client that calls a live HelixDB instance with four runtime contracts. Every primitive you meet is wired into a working .hx schema and a running engine you can install in one command. Module 4 puts graph traversal verbs (Out, In, WHERE, ORDER, RANGE) and vector top-k search side by side in the same query language, and adds ShortestPathDijkstras with composable weight expressions for cost-aware routing. You finish with the canonical hybrid-RAG pattern — SearchV returns top-k embeddings, then a typed edge climbs back to the source documents — shipped as a typed Rust client (helix-rs plus serde) with four runtime assertion contracts. The course closes with an honest read on where HelixDB is the wrong choice: columnar OLAP, Spark execution semantics, multi-tenant analytical warehouses.

Moduldetails

The unified-engine pitch — why one process holding graph + vector + KV + document beats stitching Postgres, Qdrant, and Neo4j at the application layer. You will see the four-layer Helix stack and the honest boundary where HelixDB is the wrong choice.

Das ist alles enthalten

3 Videos3 Lektüren1 Aufgabe

The three-element schema in HelixQL and the four-keyword QUERY shape. Walks N::, V::, E:: declarations, INDEX + UNIQUE INDEX, field types, default values, and a queries.hx file end to end.

Das ist alles enthalten

2 Videos2 Lektüren1 Aufgabe

The helix-cli pipeline walked verb by verb. helix init scaffolds the project; helix check is the lint pass; helix compile is the type-safe lower-to-Rust artifact; helix push dev deploys to a local instance on port 6969 where every QUERY becomes an HTTP endpoint.

Das ist alles enthalten

1 Video2 Lektüren1 Aufgabe

Graph traversal (Out, In, WHERE, ORDER<Asc>, RANGE) and vector search (SearchV) in the same query language. ShortestPathDijkstras with composable weight expressions (ADD, MUL, POW, SQRT) for cost-aware routing.

Das ist alles enthalten

3 Videos2 Lektüren1 Aufgabe

3 VideosInsgesamt 4 Minuten

Traversal — Out, In, WHERE, ORDER, RANGE1 Minute
SearchV — Vector Similarity1 Minute
ShortestPathDijkstras1 Minute

2 LektürenInsgesamt 2 Minuten

Key Terms: Graph Traversal and Vector Search Side by Side1 Minute
Reflection: Graph Traversal and Vector Search Side by Side1 Minute

1 AufgabeInsgesamt 10 Minuten

Ungraded Quiz: Graph Traversal and Vector Search Side by Side10 Minuten

The canonical hybrid-RAG schema (Doc → Embedding → EmbeddingOf) and the hit-to-context traversal. BM25 plus vector reciprocal-rank fusion via the built-in reranker. Closes with a typed Rust client that validates four runtime contracts against a live HelixDB instance.

Das ist alles enthalten

3 Videos3 Lektüren

Synthesize what you learned across the course. A short reading prepares you for the graded quiz, followed by a 5-question scenario-based assessment that connects schema design, helix-cli, traversal, vector search, and the hybrid-RAG client. Closes with next steps and references.