Integrations / Typesense

Connect

Typesense

with ToolJet

Seamlessly connect to your Typesense cluster and power your internal tools with fast, typo-tolerant, full-text search, without writing complex code.

Docs

Available actions with ToolJet and Typesense integration

ToolJet's integration with Typesense supports various operations:

Create collections

Easily define new searchable collections by specifying a JSON schema that outlines the fields and data types. This is perfect for setting up structured datasets like product catalogs, user directories, or documentation indexes.

Index documents

Add new records to your Typesense collections using the Index a Document operation. Input the target collection name and the document in JSON format. Ideal for syncing backend data or importing product information.

Update documents

Update a document in a collection by specifying the document's ID and the updated field values. This action is useful for modifying indexed content such as product prices, names, or metadata.

Retrieve documents

Fetch a single document from a collection by providing its ID. Great for displaying detailed data views or verifying indexed records.

Delete documents

Remove a document from a collection using its ID. This operation helps you manage outdated records and maintain clean, relevant indexes in your application.

Why use ToolJet with Typesense

AI-powered app building

Build internal tools, workflows, and AI agents in hours using plain English. Go from idea to production with AI-generated apps, data models, and instant debugging.

Enterprise-grade security and compliance

Stay secure with SSO, RBAC, audit logs, encryption, and compliance standards like SOC2, ISO 27001, and GDPR. Deploy your way: cloud, on-prem, or hybrid.

Production-ready database and integrations

Skip setup hassles with instant PostgreSQL and pre-built integrations for AI, databases, storage, and APIs.

Components and environment management

Speed up development with 60+ pre-built components and manage releases across dev, test, and production environments.

Flexible development options

Use no-code visual builders, or dive into low-code, and switch seamlessly as your needs evolve. You have full control, and there is no lock-in.

JavaScript and Python

Write custom logic and data transformations using JavaScript or Python, flexible scripting built right in.

Explore more SaaS integrations

Frequently asked questions

1. What is Typesense cloud, and how is it different from self-hosted Typesense?

⌄

⌃

Typesense Cloud is the managed version of the open-source Typesense search engine. It handles deployment, scaling, and maintenance, making it ideal for teams that want fast setup and minimal DevOps work. Compared to self-hosted Typesense (which you can run via Docker), Typesense Cloud offers built-in monitoring, backups, and a simplified login experience.

2. How much does Typesense cost?

⌄

⌃

Typesense pricing depends on whether you're using the open-source version (which is free) or Typesense Cloud. Typesense Cloud offers usage-based pricing based on query volume, storage, and region. You can find detailed pricing tiers and features on the Typesense pricing page.

3. How does Typesense compare to Elasticsearch for search functionality?

⌄

⌃

When comparing Typesense vs Elasticsearch, Typesense is optimized for speed, simplicity, and instant search use cases like product catalogs or site search. Elasticsearch, while powerful, is more complex to set up and tune. Typesense supports typo tolerance and relevance out of the box, with a much smaller operational footprint than Elasticsearch.

4. Where can I find the official Typesense source code and documentation?

⌄

⌃

Typesense is open-source and actively maintained on GitHub. The repository includes server code, SDKs, and setup instructions, including Docker deployment, API reference, and integration guides for JavaScript, Python, and more.

5. Can I use Typesense in Docker for local or production setups?

⌄

⌃

Yes, Typesense Docker support is official and robust. You can spin up a Typesense node using Docker for local development or production. It’s often the fastest way to get started with self-hosted deployments. The Typesense GitHub repo provides a Docker Compose file and setup instructions.