Vectorify + Laravel: Unlock AI-ready data in 60 seconds

Laravel is famous for turning complex web app chores into elegant, artisan-friendly code. Vectorify brings that same spirit to AI-powered data exploration: with one composer install and a single config file, your Laravel app becomes a conversational knowledge base you (and your customers) can query in natural language.

Laravel developers move fast. Whether you’re shipping an internal dashboard, a multi-tenant SaaS, or the next killer side-project, you probably don’t have spare cycles to learn vector databases, embeddings, prompt-engineering, or RAG pipelines just to let your users ask, “How many invoices were overdue last month?”.

Vectorify does the heavy lifting for you. In about 60 seconds, you can wire your Laravel app to an AI engine that answers deep questions across your data — safely, accurately, and at lightning speed.

Three-step install (really)

Pull the package, publish the configuration file and enter the tables and columns you want to be accessible by AI into the config/vectorify.php file.

# Pull the package
composer require vectorifyai/vectorify-laravel

# Publish the config file
php artisan vendor:publish --tag=vectorify

# Push your first dataset
php artisan vectorify:upsert

Behind the scenes, Vectorify handles chunking, embeddings, storage, ranking and much more. You just decide which Eloquent models to expose and, optionally, add metadata or multi-tenant keys in the same configuration file.

Four ways to chat with your data

1. Use the Chats page within our platform (fastest)
2. Embed the Chatbot into your Laravel app (turn data querying into a product feature)
3. Add the MCP server to ChatGPT, Claude, etc. (use your data anywhere you work)
4. Call the REST API endpoints (build custom integrations and workflows)

Why not just use a Text-to-SQL library?

The “chat with your database” tools translate plain language into SQL. That sounds handy until you hit the real-world pitfalls:

In short, unlike text-to-SQL tools that expose your entire database and take 30+ seconds per query, Vectorify uses proven RAG technology to deliver accurate answers in <4 seconds while keeping your database secure.

Built for SaaS and multi-tenancy

If you’re building SaaS, Vectorify’s tenant isolation is a game-changer. Your customers can ask about their invoices, support tickets, and campaigns — never seeing each other’s data. Just add tenant to any column in your config file, and Vectorify handles the rest. This isn’t an afterthought — it’s architected for SaaS from day one.

Under the hood: key concepts for devs

Our documentation clearly defines the core concepts in Vectorify and how they relate to each other. In a nutshell:

All of these live inside a Project: your Laravel app.

Vectorify handles the complexity that typically requires 15+ different AI/LLM components — chunking, embeddings, vector storage, reranking, and more — so you can focus on what matters: your Laravel app.

What does Vectorify unlock for your Laravel app?

• Ship AI features without becoming an AI expert
• Get insights without writing SQL queries or building custom filters/reports
• Transform static dashboards into conversational experiences
• Replace complex Eloquent queries with conversational questions
• Reduce support tickets with self-service data exploration

Ready to ship AI-powered insights?

No vector database to provision, no embedding model to tune, no LLM prompt gymnastics. Vectorify lets Laravel developers stay laser-focused on product features while delegating the entire RAG pipeline to a single endpoint.

Ready to turn your Laravel data into conversational gold? Get your free API key and follow our 60-second quickstart. No credit card required.

Questions? We’re Laravel developers too — reach out and let’s chat about what you’re building! 🚀