Adios
Data services · plans from $10/month

Deploy Typesense.Keep search fast and the administrator key private.

Start a pinned Typesense server, persist collections and documents, protect the bootstrap administrator key, and verify indexing plus search before launch.

Deploy my projectDeploy a template
Keep the repositoryInspect build and logsCustom domains and TLS
Adios deploy

Candidate release

Typesense

Healthy

SOURCE

Git

REGION

de

ROUTE

HTTPS

01Source received

02Build completed

03Runtime started

04Health check passed

Promoted route

production.adios.run

A production path for

Typesense 30.2Full-text searchVector searchGenerated keyPersistence

The production path

A working Typesense project still needs a safe release.

The application or service is only one part of production. Build evidence, runtime state, health, secrets, logs, routes, and the promoted version should remain inspectable together.

Start Typesense from a versioned template

The official template downloads the Typesense 30.2 binary for amd64 or arm64, verifies its pinned checksum, and generates the bootstrap administrator key outside source control.

Make persistence an explicit decision

Collections, documents, and indexes live on the persistent /app/typesense-data volume. Back up that state and rehearse recovery before search becomes a critical dependency.

Keep service state visible to operators

Use /health for readiness, test representative imports and queries, and create scoped search-only keys instead of exposing the administrator key in browser code.

From source to release

Three steps keep the deployment path reviewable.

Use the source and production behavior the project already has. The manifest records what the platform should build or provision and how the result becomes ready.

  1. 01

    Start with source or a template

    Bring the existing repository, or inspect and deploy one of the exact starter variants linked below.

    $adios login
  2. 02

    Review the deployment contract

    Keep commands, runtime or service version, health behavior, and secret references in adios.yaml.

    $git diff -- adios.yaml
  3. 03

    Deploy and inspect the result

    Follow build and runtime evidence, verify the candidate, and open the promoted route or service connection.

    $adios up
adios.yaml
Your project
type: search
secrets:
  TYPESENSE_API_KEY: secret://generate:64
build_cmd: sh /app/install-typesense.sh
start_cmd: exec /app/typesense-server
port: 8108

runtime:
  health_path: /health
  volumes:
    - name: typesense-data
      target: /app/typesense-data
      persistent: true
The complete starter also pins architecture-specific SHA-256 checksums and reserves disk headroom for recovery.

Deployable starting points

Start Typesense from a template when the repository is not ready.

Inspect the complete Typesense starter, clone its standalone repository, or deploy it directly with the public typesense key.

Data services

Typesense 30.2

Typesense 30.2 with persistent search data and a generated administrator key.

Search APIUpstream release
Template key
typesense
Runtime
pinned binary
Repository
template-typesense
Source path
.
git clone https://github.com/adiosdotdev/template-typesense.git
cd template-typesense
adios up
DeployView source
Review the template deployment flow

Before production

Verify the workload.Then promote it.

The safest first release starts with a reproducible build or service configuration and a preview that exercises the dependencies production will actually use.

Ready when…

  • The administrator key is stored outside Git.
  • Browser clients use a scoped search-only key.
  • Representative documents import and search correctly.
  • Backup and restore ownership is documented.

Preview when…

  • A schema, tokenizer, synonym set, or vector dimension changes.
  • A bulk import can consume most available disk space.
  • Search becomes required for an application write path.

Questions, answered

What to know before deploying Typesense.

Review the runtime or service boundary, template path, failure behavior, and production checks before creating the first release.

Can I deploy Typesense from an official template?

Yes. Choose the Typesense template that matches the version or configuration you need, store credentials as Adios secrets, and deploy it from the console or with adios up.

Does the Typesense template use persistent storage?

Collections, documents, and indexes live on the persistent /app/typesense-data volume. Back up that state and rehearse recovery before search becomes a critical dependency.

Can a browser use the generated Typesense key?

No. The generated value is the bootstrap administrator key. Keep it on trusted servers and use the Typesense key API to create a scoped search-only key for browser clients.

Does the template support vector search?

Yes. Typesense can store and query vector fields alongside text search. Validate dimensions, embedding generation, filter behavior, and representative query latency before launch.

Where should database and broker passwords be stored?

Store sensitive values in Adios secrets and reference them with secret://NAME. Do not place production credentials directly in adios.yaml or commit them to Git.

What should I verify before production traffic?

Verify authentication, application connectivity, write and read behavior, restart persistence, backup or recovery expectations, capacity, and the failure behavior of every dependent application.

Related deployment paths

Connect the rest of the stack.

Browse all deployment pages

Deploy Qdrant

Start a pinned single-node Qdrant service, persist collections and snapshots, separate administrator and read-only access, and test representative vector queries.

Deploy pgvector

Start PostgreSQL with the pgvector extension, connect an embedding application, verify vector writes and nearest-neighbor queries, and test persistence.

Deploy Node.js

Deploy a persistent Node.js web process or worker from its existing package scripts, with release health, logs, secrets, routing, and Git history attached.

Deploy Python

Run a Python web app or worker with the dependency file, process command, health route, and secret-backed configuration kept beside the source.

The first release

Deploy Typesense with the source and evidence attached.

Start from the repository or a template, review the deployment contract, and inspect what becomes the promoted production version.

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