Semantic Search
for Laravel

Find content by meaning, not just keywords. Powered by vector embeddings and similarity search with Ollama + PostgreSQL pgvector.

Try Semantic Search
Total
20
Concepts
Stored
20
Embeddings
Indexed
15
Categories

How Semantic Search Works

1

Input Text

Your content (articles, products, etc.) is prepared for embedding

2

Generate Embeddings

Ollama converts text into 768-dimensional vectors capturing meaning

3

Store in pgvector

Vectors are stored in PostgreSQL with HNSW indexing for fast search

4

Similarity Search

Queries find conceptually similar content using cosine similarity

Try These Searches

See how semantic search finds related concepts even without exact keyword matches:

"how do plants make food" "why do we make bad decisions" "artificial intelligence learning" "what happens when stars die" "sustainable food production" "spooky physics"

Sample Concepts

Astrophysics

Black Holes

Regions of spacetime where gravity is so strong that nothing, not even light, can escape once past the event horizon. Formed from collapsed massive st...

Computer Science

Neural Networks

Computing systems inspired by biological brains, consisting of interconnected nodes that process information in layers. They learn patterns from data...

Physics

Quantum Entanglement

A phenomenon where two particles become correlated in such a way that measuring one instantly affects the other, regardless of distance. Einstein call...

Genetics

CRISPR Gene Editing

A revolutionary biotechnology tool that allows scientists to edit DNA sequences with precision. Like molecular scissors, it can cut, delete, or insert...

Biology

Photosynthesis

The process by which plants convert sunlight, water, and carbon dioxide into glucose and oxygen. This remarkable chemical reaction occurs in chloropla...